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Volker Markl

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affiliation: German Research Center for Artificial Intelligence (DFKI), Berlin, Germany
affiliation: TU Berlin, Institute of Software Engineering and Theoretical Computer Science, Germany

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2020 – today

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2024
[j105]
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Anastasiia Kozar, Bonaventura Del Monte, Steffen Zeuch, Volker Markl:
Fault Tolerance Placement in the Internet of Things. Proc. ACM Manag. Data 2(3): 138 (2024)
[j104]
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Philipp M. Grulich, Aljoscha P. Lepping, Dwi P. A. Nugroho, Varun Pandey, Bonaventura Del Monte, Steffen Zeuch, Volker Markl:
Query Compilation Without Regrets. Proc. ACM Manag. Data 2(3): 165 (2024)
[j103]
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Rudi Poepsel Lemaitre, Kaustubh Beedkar, Volker Markl:
Disclosure-Compliant Query Answering. Proc. ACM Manag. Data 2(6): 233:1-233:28 (2024)
[j102]
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David Justen, Daniel Ritter, Campbell Fraser, Andrew Lamb, Nga Tran, Allison Lee, Thomas Bodner, Mhd Yamen Haddad, Steffen Zeuch, Volker Markl, Matthias Boehm:
POLAR: Adaptive and Non-invasive Join Order Selection via Plans of Least Resistance. Proc. VLDB Endow. 17(6): 1350-1363 (2024)
[j101]
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Xenofon Chatziliadis, Eleni Tzirita Zacharatou, Alphan Eracar, Steffen Zeuch, Volker Markl:
Efficient Placement of Decomposable Aggregation Functions for Stream Processing over Large Geo-Distributed Topologies. Proc. VLDB Endow. 17(6): 1501-1514 (2024)
[j100]
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Lennart Behme, Sainyam Galhotra, Kaustubh Beedkar, Volker Markl:
Fainder: A Fast and Accurate Index for Distribution-Aware Dataset Search. Proc. VLDB Endow. 17(11): 3269-3282 (2024)
[j99]
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Stefan Halfpap, Jan Kossmann, Rainer Schlosser, Volker Markl:
Looking Deeply into the Magic Mirror: An Interactive Analysis of Database Index Selection Approaches. Proc. VLDB Endow. 17(12): 4301-4304 (2024)
[j98]
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Juliane Verwiebe, Philipp M. Grulich, Jonas Traub, Volker Markl:
Correction to: Survey of window types for aggregation in stream processing systems. VLDB J. 33(1): 251 (2024)
[j97]
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Shuhao Zhang, Juan Soto, Volker Markl:
A survey on transactional stream processing. VLDB J. 33(2): 451-479 (2024)
[j96]
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Sergey Redyuk, Zoi Kaoudi, Sebastian Schelter, Volker Markl:
Assisted design of data science pipelines. VLDB J. 33(4): 1129-1153 (2024)
[c187]
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Volker Markl:
NebulaStream - Data Stream Processing in Massively Distributed, Heterogeneous, Volatile Environments. DEBS 2024: 1-3
[c186]
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Steffen Zeuch, Ankit Chaudhary, Viktor Rosenfeld, Taha Tekdogan, Adrian Michalke, Matthis Gördel, Ariane Ziehn, Volker Markl:
Using and Enhancing NebulaStream - A Tutorial. DEBS 2024: 212-216
[c185]
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Dwi P. A. Nugroho, Philipp M. Grulich, Steffen Zeuch, Clemens Lutz, Stefano Bortoli, Volker Markl:
Benchmarking Stream Join Algorithms on GPUs: A Framework and its Application to the State-of-the-art. EDBT 2024: 188-200
[c184]
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Ariane Ziehn, Philipp M. Grulich, Steffen Zeuch, Volker Markl:
Bridging the Gap: Complex Event Processing on Stream Processing Systems. EDBT 2024: 447-460
[c183]
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Rama Widyadhana Bhagaskoro, Volker Markl, Zoi Kaoudi:
Evaluation of Sampling Methods for Discovering Facts from Knowledge Graph Embeddings. EDBT 2024: 664-675
[c182]
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Serafeim Papadias, Zoi Kaoudi, Varun Pandey, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
Counting Butterflies in Fully Dynamic Bipartite Graph Streams. ICDE 2024: 2917-2930
[c181]
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  - conf/sigmod/DusellaGNMZ24
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Gereon Dusella, Haralampos Gavriilidis, Laert Nuhu, Volker Markl, Eleni Tzirita Zacharatou:
Multi-Backend Zonal Statistics Execution with Raven. SIGMOD Conference Companion 2024: 532-535
[i32]
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  - journals/corr/abs-2407-03653
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Kai Norman Clasen, Leonard W. Hackel, Tom Burgert, Gencer Sumbul, Begüm Demir, Volker Markl:
reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis. CoRR abs/2407.03653 (2024)
2023
[j95]
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Viktor Rosenfeld, Sebastian Breß, Volker Markl:
Query Processing on Heterogeneous CPU/GPU Systems. ACM Comput. Surv. 55(2): 11:1-11:38 (2023)
[j94]
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Haralampos Gavriilidis, Felix Henze, Eleni Tzirita Zacharatou, Volker Markl:
SheetReader: Efficient Specialized Spreadsheet Parsing. Inf. Syst. 115: 102183 (2023)
[j93]
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Yancan Mao, Jianjun Zhao, Shuhao Zhang, Haikun Liu, Volker Markl:
MorphStream: Adaptive Scheduling for Scalable Transactional Stream Processing on Multicores. Proc. ACM Manag. Data 1(1): 59:1-59:26 (2023)
[j92]
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Martin Kiefer, Ilias Poulakis, Eleni Tzirita Zacharatou, Volker Markl:
Optimistic Data Parallelism for FPGA-Accelerated Sketching. Proc. VLDB Endow. 16(5): 1113-1125 (2023)
[j91]
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Kajetan Jeremi Maliszewski, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
Cracking-Like Join for Trusted Execution Environments. Proc. VLDB Endow. 16(9): 2330-2343 (2023)
[j90]
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Aljoscha P. Lepping, Hoang Mi Pham, Laura Mons, Balint Rueb, Philipp M. Grulich, Ankit Chaudhary, Steffen Zeuch, Volker Markl:
Showcasing Data Management Challenges for Future IoT Applications with NebulaStream. Proc. VLDB Endow. 16(12): 3930-3933 (2023)
[j89]
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Haralampos Gavriilidis, Leonhard Rose, Joel Ziegler, Kaustubh Beedkar, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
XDB in Action: Decentralized Cross-Database Query Processing for Black-Box DBMSes. Proc. VLDB Endow. 16(12): 4078-4081 (2023)
[j88]
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Xiao Li, Huan Li, Hua Lu, Christian S. Jensen, Varun Pandey, Volker Markl:
Missing Value Imputation for Multi-attribute Sensor Data Streams via Message Propagation. Proc. VLDB Endow. 17(3): 345-358 (2023)
[j87]
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Kaustubh Beedkar, Bertty Contreras-Rojas, Haralampos Gavriilidis, Zoi Kaoudi, Volker Markl, Rodrigo Pardo-Meza, Jorge-Arnulfo Quiané-Ruiz:
Apache Wayang: A Unified Data Analytics Framework. SIGMOD Rec. 52(3): 30-35 (2023)
[j86]
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Juliane Verwiebe, Philipp M. Grulich, Jonas Traub, Volker Markl:
Survey of window types for aggregation in stream processing systems. VLDB J. 32(5): 985-1011 (2023)
[c180]
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Henriette Behr, Volker Markl, Zoi Kaoudi:
Learn What Really Matters: A Learning-to-Rank Approach for ML-based Query Optimization. BTW 2023: 535-554
[c179]
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David Burrell, Xenofon Chatziliadis, Eleni Tzirita Zacharatou, Steffen Zeuch, Volker Markl:
Workload Prediction for IoT Data Management Systems. BTW 2023: 943-950
[c178]
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Philipp M. Grulich, Aljoscha P. Lepping, Dwi Prasetyo Adi Nugroho, Varun Pandey, Bonaventura Del Monte, Steffen Zeuch, Volker Markl:
Towards Unifying Query Interpretation and Compilation. CIDR 2023
[c177]
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Alexander Renz-Wieland, Andreas Kieslinger, Robert Gericke, Rainer Gemulla, Zoi Kaoudi, Volker Markl:
Good Intentions: Adaptive Parameter Management via Intent Signaling. CIKM 2023: 2156-2166
[c176]
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Nils L. Schubert, Philipp M. Grulich, Steffen Zeuch, Volker Markl:
Exploiting Access Pattern Characteristics for Join Reordering. DaMoN 2023: 10-18
[c175]
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Yordan Grigorov, Haralampos Gavriilidis, Sergey Redyuk, Kaustubh Beedkar, Volker Markl:
P2D: A Transpiler Framework for Optimizing Data Science Pipelines. DEEM@SIGMOD 2023: 3:1-3:4
[c174]
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Ankit Chaudhary, Steffen Zeuch, Volker Markl, Jeyhun Karimov:
Incremental Stream Query Merging. EDBT 2023: 604-617
[c173]
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Anh Duc Vu, Christos Tsigkanos, Jorge-Arnulfo Quiané-Ruiz, Volker Markl, Timo Kehrer:
On Irregularity Localization for Scientific Data Analysis Workflows. ICCS (1) 2023: 336-351
[c172]
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Lennart Behme, Saravanan Thirumuruganathan, Alireza Rezaei Mahdiraji, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
The Art of Losing to Win: Using Lossy Image Compression to Improve Data Loading in Deep Learning Pipelines. ICDE 2023: 936-949
[c171]
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Haralampos Gavriilidis, Kaustubh Beedkar, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
In-Situ Cross-Database Query Processing. ICDE 2023: 2794-2807
[c170]
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Kajetan Jeremi Maliszewski, Tilman Dietzel, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
TeeBench: Seamless Benchmarking in Trusted Execution Environments. SIGMOD Conference Companion 2023: 163-166
[c169]
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Philipp M. Grulich, Steffen Zeuch, Volker Markl:
Towards Efficient and Secure UDF Execution with BabelfishLib (Lightning Talk). VLDB Workshops 2023
[i31]
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  - journals/corr/abs-2305-08413
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Devis Tuia, Konrad Schindler, Begüm Demir, Gustau Camps-Valls, Xiao Xiang Zhu, Mrinalini Kochupillai, Saso Dzeroski, Jan N. van Rijn, Holger H. Hoos, Fabio Del Frate, Mihai Datcu, Jorge-Arnulfo Quiané-Ruiz, Volker Markl, Bertrand Le Saux, Rochelle Schneider:
Artificial intelligence to advance Earth observation: a perspective. CoRR abs/2305.08413 (2023)
[i30]
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  - journals/corr/abs-2307-12749
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Yancan Mao, Jianjun Zhao, Zhonghao Yang, Shuhao Zhang, Haikun Liu, Volker Markl:
MorphStream: Scalable Processing of Transactions over Streams on Multicores. CoRR abs/2307.12749 (2023)
[i29]
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  - journals/corr/abs-2309-06354
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Varun Pandey, Alexander van Renen, Eleni Tzirita Zacharatou, Andreas Kipf, Ibrahim Sabek, Jialin Ding, Volker Markl, Alfons Kemper:
Enhancing In-Memory Spatial Indexing with Learned Search. CoRR abs/2309.06354 (2023)
[i28]
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  - journals/corr/abs-2311-07344
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Xiao Li, Huan Li, Hua Lu, Christian S. Jensen, Varun Pandey, Volker Markl:
Missing Value Imputation for Multi-attribute Sensor Data Streams via Message Propagation (Extended Version). CoRR abs/2311.07344 (2023)
[i27]
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  - journals/corr/abs-2312-03435
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Serafeim Papadias, Zoi Kaoudi, Varun Pandey, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
Counting Butterflies in Fully Dynamic Bipartite Graph Streams. CoRR abs/2312.03435 (2023)
2022
[j85]
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Daniel Abadi, Anastasia Ailamaki, David G. Andersen, Peter Bailis, Magdalena Balazinska, Philip A. Bernstein, Peter A. Boncz, Surajit Chaudhuri, Alvin Cheung, AnHai Doan, Luna Dong, Michael J. Franklin, Juliana Freire, Alon Y. Halevy, Joseph M. Hellerstein, Stratos Idreos, Donald Kossmann, Tim Kraska, Sailesh Krishnamurthy, Volker Markl, Sergey Melnik, Tova Milo, C. Mohan, Thomas Neumann, Beng Chin Ooi, Fatma Ozcan, Jignesh M. Patel, Andrew Pavlo, Raluca A. Popa, Raghu Ramakrishnan, Christopher Ré, Michael Stonebraker, Dan Suciu:
The Seattle report on database research. Commun. ACM 65(8): 72-79 (2022)
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Gábor E. Gévay, Juan Soto, Volker Markl:
Handling Iterations in Distributed Dataflow Systems. ACM Comput. Surv. 54(9): 199:1-199:38 (2022)
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Volker Markl, Alexander Borusan, Theo Härder:
Editorial. Datenbank-Spektrum 22(2): 95-98 (2022)
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Juliane Verwiebe, Philipp M. Grulich, Jonas Traub, Volker Markl:
Algorithms for Windowed Aggregations and Joins on Distributed Stream Processing Systems. Datenbank-Spektrum 22(2): 99-107 (2022)
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Steffen Zeuch, Xenofon Chatziliadis, Ankit Chaudhary, Dimitrios Giouroukis, Philipp M. Grulich, Dwi Prasetyo Adi Nugroho, Ariane Ziehn, Volker Markl:
NebulaStream: Data Management for the Internet of Things. Datenbank-Spektrum 22(2): 131-141 (2022)
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Kaustubh Beedkar, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
Navigating Compliance with Data Transfers in Federated Data Processing. IEEE Data Eng. Bull. 45(1): 50-61 (2022)
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Ariane Ziehn, Christian Mandel, Kathrin Stich, Rolf Dembinski, Karin Hochbaum, Steffen Zeuch, Volker Markl:
IoT-PMA: Patient Health Monitoring in Medical IoT Ecosystems. Open J. Internet Things 8(1): 20-31 (2022)
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Ahmet Kerem Aksoy, Pavel Dushev, Eleni Tzirita Zacharatou, Holmer Hemsen, Marcela Charfuelan, Jorge-Arnulfo Quiané-Ruiz, Begüm Demir, Volker Markl:
Satellite Image Search in AgoraEO. Proc. VLDB Endow. 15(12): 3646-3649 (2022)
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Sergey Redyuk, Zoi Kaoudi, Sebastian Schelter, Volker Markl:
DORIAN in action: Assisted Design of Data Science Pipelines. Proc. VLDB Endow. 15(12): 3714-3717 (2022)
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Serafeim Papadias, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
Space-Efficient Random Walks on Streaming Graphs. Proc. VLDB Endow. 16(2): 356-368 (2022)
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Volker Markl:
Making Learned Query Optimization Practical: A Technical Perspective. SIGMOD Rec. 51(1): 5 (2022)
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Gábor E. Gévay, Tilmann Rabl, Sebastian Breß, Lorand Madai-Tahy, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
Imperative or Functional Control Flow Handling: Why not the Best of Both Worlds? SIGMOD Rec. 51(1): 60-67 (2022)
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Muhammad Imran, Gábor E. Gévay, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
Fast datalog evaluation for batch and stream graph processing. World Wide Web 25(2): 971-1003 (2022)
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Robin Van De Water, Francesco Ventura, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
DataFarm: Farm Your ML-based Query Optimizer's Food! - Human-Guided Training Data Generation -. CIDR 2022
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Felix Henze, Haralampos Gavriilidis, Eleni Tzirita Zacharatou, Volker Markl:
Efficient Specialized Spreadsheet Parsing for Data Science. DOLAP 2022: 41-50
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Robin Van De Water, Francesco Ventura, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
Farming Your ML-based Query Optimizer's Food. ICDE 2022: 3186-3189
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Bonaventura Del Monte, Steffen Zeuch, Tilmann Rabl, Volker Markl:
Rhino: Efficient Management of Very Large Distributed State for Stream Processing Engines [Abstract]. LWDA 2022: 6-7
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Alexander Renz-Wieland, Rainer Gemulla, Zoi Kaoudi, Volker Markl:
NuPS: A Parameter Server for Machine Learning with Non-Uniform Parameter Access. SIGMOD Conference 2022: 481-495
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Clemens Lutz, Sebastian Breß, Steffen Zeuch, Tilmann Rabl, Volker Markl:
Triton Join: Efficiently Scaling to a Large Join State on GPUs with Fast Interconnects. SIGMOD Conference 2022: 1017-1032
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Bonaventura Del Monte, Steffen Zeuch, Tilmann Rabl, Volker Markl:
Rethinking Stateful Stream Processing with RDMA. SIGMOD Conference 2022: 1078-1092
[c161]
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Behrouz Derakhshan, Alireza Rezaei Mahdiraji, Zoi Kaoudi, Tilmann Rabl, Volker Markl:
Materialization and Reuse Optimizations for Production Data Science Pipelines. SIGMOD Conference 2022: 1962-1976
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Marcellus Prama Saputra, Eleni Tzirita Zacharatou, Serafeim Papadias, Volker Markl:
In-Place Updates in Tree-Encoded Bitmaps. SSDBM 2022: 18:1-18:4
[c159]
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Haralampos Gavriilidis, Lennart Behme, Sokratis Papadopoulos, Stefano Bortoli, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
Towards a Modular Data Management System Framework. CDMS@VLDB 2022
[i26]
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Zoi Kaoudi, Abelardo Carlos Martinez Lorenzo, Volker Markl:
Towards Loosely-Coupling Knowledge Graph Embeddings and Ontology-based Reasoning. CoRR abs/2202.03173 (2022)
[i25]
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Felix Henze, Haralampos Gavriilidis, Eleni Tzirita Zacharatou, Volker Markl:
Efficient Specialized Spreadsheet Parsing for Data Science. CoRR abs/2202.13189 (2022)
[i24]
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Alexander Renz-Wieland, Andreas Kieslinger, Robert Gericke, Rainer Gemulla, Zoi Kaoudi, Volker Markl:
Good Intentions: Adaptive Parameter Servers via Intent Signaling. CoRR abs/2206.00470 (2022)
[i23]
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Shuhao Zhang, Juan Soto, Volker Markl:
A Survey on Transactional Stream Processing. CoRR abs/2208.09827 (2022)
[i22]
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Ahmet Kerem Aksoy, Pavel Dushev, Eleni Tzirita Zacharatou, Holmer Hemsen, Marcela Charfuelan, Jorge-Arnulfo Quiané-Ruiz, Begüm Demir, Volker Markl:
Satellite Image Search in AgoraEO. CoRR abs/2208.10830 (2022)
[i21]
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Serafeim Papadias, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
Space-Efficient Random Walks on Streaming Graphs. CoRR abs/2209.06063 (2022)
2021
[j72]
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Ioannis Prapas, Behrouz Derakhshan, Alireza Rezaei Mahdiraji, Volker Markl:
Continuous Training and Deployment of Deep Learning Models. Datenbank-Spektrum 21(3): 203-212 (2021)
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Ulf Leser, Marcus Hilbrich, Claudia Draxl, Peter Eisert, Lars Grunske, Patrick Hostert, Dagmar Kainmüller, Odej Kao, Birte Kehr, Timo Kehrer, Christoph Koch, Volker Markl, Henning Meyerhenke, Tilmann Rabl, Alexander Reinefeld, Knut Reinert, Kerstin Ritter, Björn Scheuermann, Florian Schintke, Nicole Schweikardt, Matthias Weidlich:
The Collaborative Research Center FONDA. Datenbank-Spektrum 21(3): 255-260 (2021)
[j70]
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Dimitrios Giouroukis, Johannes Jestram, Steffen Zeuch, Volker Markl:
Streaming Data through the IoT via Actor-Based Semantic Routing Trees. Open J. Internet Things 7(1): 59-70 (2021)
[j69]
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Xenofon Chatziliadis, Eleni Tzirita Zacharatou, Steffen Zeuch, Volker Markl:
Monitoring of Stream Processing Engines Beyond the Cloud: An Overview. Open J. Internet Things 7(1): 71-82 (2021)
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Rudi Poepsel Lemaitre, Martin Kiefer, Joscha Von Hein, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
In the Land of Data Streams where Synopses are Missing, One Framework to Bring Them All. Proc. VLDB Endow. 14(10): 1818-1831 (2021)
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Zihao Chen, Zhizhen Xu, Chen Xu, Juan Soto, Volker Markl, Weining Qian, Aoying Zhou:
HyMAC: A Hybrid Matrix Computation System. Proc. VLDB Endow. 14(12): 2699-2702 (2021)
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Alexander Renz-Wieland, Tobias Drobisch, Zoi Kaoudi, Rainer Gemulla, Volker Markl:
Just Move It! Dynamic Parameter Allocation in Action. Proc. VLDB Endow. 14(12): 2707-2710 (2021)
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Kaustubh Beedkar, David Brekardin, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
Compliant Geo-distributed Data Processing in Action. Proc. VLDB Endow. 14(12): 2843-2846 (2021)
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Philipp Marian Grulich, Steffen Zeuch, Volker Markl:
Babelfish: Efficient Execution of Polyglot Queries. Proc. VLDB Endow. 15(2): 196-210 (2021)
[j63]
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Kajetan Jeremi Maliszewski, Jorge-Arnulfo Quiané-Ruiz, Jonas Traub, Volker Markl:
What Is the Price for Joining Securely? Benchmarking Equi-Joins in Trusted Execution Environments. Proc. VLDB Endow. 15(3): 659-672 (2021)
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Jonas Traub, Philipp Marian Grulich, Alejandro Rodriguez Cuellar, Sebastian Breß, Asterios Katsifodimos, Tilmann Rabl, Volker Markl:
Scotty: General and Efficient Open-source Window Aggregation for Stream Processing Systems. ACM Trans. Database Syst. 46(1): 1:1-1:46 (2021)
[c158]
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Alexander Kumaigorodski, Clemens Lutz, Volker Markl:
Fast CSV Loading Using GPUs and RDMA for In-Memory Data Processing. BTW 2021: 19-38
[c157]
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Elena Beatriz Ouro Paz, Eleni Tzirita Zacharatou, Volker Markl:
Towards Resilient Data Management for the Internet of Moving Things. BTW 2021: 279-301
[c156]
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Eleni Tzirita Zacharatou, Andreas Kipf, Ibrahim Sabek, Varun Pandey, Harish Doraiswamy, Volker Markl:
The Case for Distance-Bounded Spatial Approximations. CIDR 2021
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Adrian Michalke, Philipp M. Grulich, Clemens Lutz, Steffen Zeuch, Volker Markl:
An Energy-Efficient Stream Join for the Internet of Things. DaMoN 2021: 8:1-8:6
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Volker Markl:
Database Systems and Information Management: Trends and a Vision. DATA 2021: 11-12
[c153]
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Sergey Redyuk, Zoi Kaoudi, Volker Markl, Sebastian Schelter:
Automating Data Quality Validation for Dynamic Data Ingestion. EDBT 2021: 61-72
[c152]
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Felipe Oliveira Gutierrez, Kaustubh Beedkar, Abel Souza, Volker Markl:
AdCom: Adaptive Combiner for Streaming Aggregations. EDBT 2021: 409-414
[c151]
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Julius Hülsmann, Chiao-Yun Li, Jonas Traub, Volker Markl:
Automatic Tuning of Read-Time Tolerances for Optimized On-Demand Data-Streaming from Sensor Nodes. EDBT 2021: 517-522
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Gábor E. Gévay, Tilmann Rabl, Sebastian Breß, Lorand Madai-Tahy, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
Efficient Control Flow in Dataflow Systems: When Ease-of-Use Meets High Performance. ICDE 2021: 1428-1439
[c149]
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Kaustubh Beedkar, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
Compliant Geo-distributed Query Processing. SIGMOD Conference 2021: 181-193
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Zihao Chen, Chen Xu, Juan Soto, Volker Markl, Weining Qian, Aoying Zhou:
Hybrid Evaluation for Distributed Iterative Matrix Computation. SIGMOD Conference 2021: 300-312
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Gábor E. Gévay, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
The Power of Nested Parallelism in Big Data Processing - Hitting Three Flies with One Slap -. SIGMOD Conference 2021: 605-618
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Francesco Ventura, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
Expand your Training Limits! Generating Training Data for ML-based Data Management. SIGMOD Conference 2021: 1865-1878
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Shuhao Zhang, Yancan Mao, Jiong He, Philipp M. Grulich, Steffen Zeuch, Bingsheng He, Richard T. B. Ma, Volker Markl:
Parallelizing Intra-Window Join on Multicores: An Experimental Study. SIGMOD Conference 2021: 2089-2101
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Sebastian Baunsgaard, Matthias Boehm, Ankit Chaudhary, Behrouz Derakhshan, Stefan Geißelsöder, Philipp M. Grulich, Michael Hildebrand, Kevin Innerebner, Volker Markl, Claus Neubauer, Sarah Osterburg, Olga Ovcharenko, Sergey Redyuk, Tobias Rieger, Alireza Rezaei Mahdiraji, Sebastian Benjamin Wrede, Steffen Zeuch:
ExDRa: Exploratory Data Science on Federated Raw Data. SIGMOD Conference 2021: 2450-2463
[i20]
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Alexander Renz-Wieland, Rainer Gemulla, Zoi Kaoudi, Volker Markl:
Replicate or Relocate? Non-Uniform Access in Parameter Servers. CoRR abs/2104.00501 (2021)
[i19]
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Gencer Sumbul, Arne de Wall, Tristan Kreuziger, Filipe Marcelino, Hugo Costa, Pedro Benevides, Mario Caetano, Begüm Demir, Volker Markl:
BigEarthNet-MM: A Large Scale Multi-Modal Multi-Label Benchmark Archive for Remote Sensing Image Classification and Retrieval. CoRR abs/2105.07921 (2021)
2020
[j61]
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Abdulrahman Kaitoua, Tilmann Rabl, Volker Markl:
A distributed data exchange engine for polystores. it Inf. Technol. 62(3-4): 145-156 (2020)
[j60]
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Steffen Zeuch, Eleni Tzirita Zacharatou, Shuhao Zhang, Xenofon Chatziliadis, Ankit Chaudhary, Bonaventura Del Monte, Dimitrios Giouroukis, Philipp M. Grulich, Ariane Ziehn, Volker Markl:
NebulaStream: Complex Analytics Beyond the Cloud. Open J. Internet Things 6(1): 66-81 (2020)
[j59]
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Alexander Renz-Wieland, Rainer Gemulla, Steffen Zeuch, Volker Markl:
Dynamic Parameter Allocation in Parameter Servers. Proc. VLDB Endow. 13(11): 1877-1890 (2020)
[j58]
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Julius Hülsmann, Jonas Traub, Volker Markl:
Demand-based Sensor Data Gathering with Multi-Query Optimization. Proc. VLDB Endow. 13(12): 2801-2804 (2020)
[j57]
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Martin Kiefer, Ilias Poulakis, Sebastian Breß, Volker Markl:
Scotch: Generating FPGA-Accelerators for Sketching at Line Rate. Proc. VLDB Endow. 14(3): 281-293 (2020)
[j56]
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Jonas Traub, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
Agora: Bringing Together Datasets, Algorithms, Models and More in a Unified Ecosystem [Vision]. SIGMOD Rec. 49(4): 6-11 (2020)
[c143]
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Steffen Zeuch, Ankit Chaudhary, Bonaventura Del Monte, Haralampos Gavriilidis, Dimitrios Giouroukis, Philipp M. Grulich, Sebastian Breß, Jonas Traub, Volker Markl:
The NebulaStream Platform for Data and Application Management in the Internet of Things. CIDR 2020
[c142]
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Dimitrios Giouroukis, Alexander Dadiani, Jonas Traub, Steffen Zeuch, Volker Markl:
A survey of adaptive sampling and filtering algorithms for the internet of things. DEBS 2020: 27-38
[c141]
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Lawrence Benson, Philipp M. Grulich, Steffen Zeuch, Volker Markl, Tilmann Rabl:
Disco: Efficient Distributed Window Aggregation. EDBT 2020: 423-426
[c140]
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Haralampos Gavriilidis, Adrian Michalke, Laura Mons, Steffen Zeuch, Volker Markl:
Scaling a Public Transport Monitoring System to Internet of Things Infrastructures. EDBT 2020: 627-630
[c139]
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Ankit Chaudhary, Steffen Zeuch, Volker Markl:
Governor: Operator Placement for a Unified Fog-Cloud Environment. EDBT 2020: 631-634
[c138]
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Sergey Redyuk, Volker Markl, Sebastian Schelter:
Towards Unsupervised Data Quality Validation on Dynamic Data. EDBT/ICDT Workshops 2020
[c137]
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Clemens Lutz, Sebastian Breß, Steffen Zeuch, Tilmann Rabl, Volker Markl:
Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects. SIGMOD Conference 2020: 1633-1649
[c136]
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Behrouz Derakhshan, Alireza Rezaei Mahdiraji, Ziawasch Abedjan, Tilmann Rabl, Volker Markl:
Optimizing Machine Learning Workloads in Collaborative Environments. SIGMOD Conference 2020: 1701-1716
[c135]
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Bonaventura Del Monte, Steffen Zeuch, Tilmann Rabl, Volker Markl:
Rhino: Efficient Management of Very Large Distributed State for Stream Processing Engines. SIGMOD Conference 2020: 2471-2486
[c134]
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Philipp M. Grulich, Sebastian Breß, Steffen Zeuch, Jonas Traub, Janis von Bleichert, Zongxiong Chen, Tilmann Rabl, Volker Markl:
Grizzly: Efficient Stream Processing Through Adaptive Query Compilation. SIGMOD Conference 2020: 2487-2503
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Muhammad Imran, Gábor E. Gévay, Volker Markl:
Distributed Graph Analytics with Datalog Queries in Flink. SFDI/LSGDA@VLDB 2020: 70-83
[i18]
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Alexander Renz-Wieland, Rainer Gemulla, Steffen Zeuch, Volker Markl:
Dynamic Parameter Allocation in Parameter Servers. CoRR abs/2002.00655 (2020)
[i17]
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Eleni Tzirita Zacharatou, Andreas Kipf, Ibrahim Sabek, Varun Pandey, Harish Doraiswamy, Volker Markl:
The Case for Distance-Bounded Spatial Approximations. CoRR abs/2010.12548 (2020)

2010 – 2019

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2019
[j55]
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Holger J. Meyer, Hannes Grunert, Tim Waizenegger, Lucas Woltmann, Claudio Hartmann, Wolfgang Lehner, Mahdi Esmailoghli, Sergey Redyuk, Ricardo Martinez, Ziawasch Abedjan, Ariane Ziehn, Tilmann Rabl, Volker Markl, Christian Schmitz, Dhiren Devinder Serai, Tatiane Escobar Gava:
Particulate Matter Matters - The Data Science Challenge @ BTW 2019. Datenbank-Spektrum 19(3): 165-182 (2019)
[j54]
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Steffen Zeuch, Sebastian Breß, Tilmann Rabl, Bonaventura Del Monte, Jeyhun Karimov, Clemens Lutz, Manuel Renz, Jonas Traub, Volker Markl:
Analyzing Efficient Stream Processing on Modern Hardware. Proc. VLDB Endow. 12(5): 516-530 (2019)
[j53]
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Andreas Kunft, Asterios Katsifodimos, Sebastian Schelter, Sebastian Breß, Tilmann Rabl, Volker Markl:
An Intermediate Representation for Optimizing Machine Learning Pipelines. Proc. VLDB Endow. 12(11): 1553-1567 (2019)
[j52]
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Jeyhun Karimov, Tilmann Rabl, Volker Markl:
AJoin: Ad-hoc Stream Joins at Scale. Proc. VLDB Endow. 13(4): 435-448 (2019)
[j51]
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Daniel Abadi, Anastasia Ailamaki, David G. Andersen, Peter Bailis, Magdalena Balazinska, Philip A. Bernstein, Peter A. Boncz, Surajit Chaudhuri, Alvin Cheung, AnHai Doan, Luna Dong, Michael J. Franklin, Juliana Freire, Alon Y. Halevy, Joseph M. Hellerstein, Stratos Idreos, Donald Kossmann, Tim Kraska, Sailesh Krishnamurthy, Volker Markl, Sergey Melnik, Tova Milo, C. Mohan, Thomas Neumann, Beng Chin Ooi, Fatma Ozcan, Jignesh M. Patel, Andrew Pavlo, Raluca A. Popa, Raghu Ramakrishnan, Christopher Ré, Michael Stonebraker, Dan Suciu:
The Seattle Report on Database Research. SIGMOD Rec. 48(4): 44-53 (2019)
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Alexander Alexandrov, Georgi Krastev, Volker Markl:
Representations and Optimizations for Embedded Parallel Dataflow Languages. ACM Trans. Database Syst. 44(1): 4:1-4:44 (2019)
[c132]
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Sebastian Breß, Henning Funke, Steffen Zeuch, Tilmann Rabl, Volker Markl:
An Overview of Hawk: A Hardware-Tailored Code Generator for the Heterogeneous Many Core Age. BTW (Workshops) 2019: 87-90
[c131]
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Adrian Bartnik, Bonaventura Del Monte, Tilmann Rabl, Volker Markl:
On-the-fly Reconfiguration of Query Plans for Stateful Stream Processing Engines. BTW 2019: 127-146
[c130]
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Melissa Gehring, Marcela Charfuelan, Volker Markl:
A Comparison of Distributed Stream Processing Systems for Time Series Analysis. BTW (Workshops) 2019: 205-214
[c129]
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Mahdi Esmailoghli, Sergey Redyuk, Ricardo Martinez, Ziawasch Abedjan, Tilmann Rabl, Volker Markl:
Explanation of Air Pollution Using External Data Sources. BTW (Workshops) 2019: 297-300
[c128]
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Viktor Rosenfeld, Sebastian Breß, Steffen Zeuch, Tilmann Rabl, Volker Markl:
Performance Analysis and Automatic Tuning of Hash Aggregation on GPUs. DaMoN 2019: 8:1-8:11
[c127]
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Philipp M. Grulich, Jonas Traub, Sebastian Breß, Asterios Katsifodimos, Volker Markl, Tilmann Rabl:
Generating Reproducible Out-of-Order Data Streams. DEBS 2019: 256-257
[c126]
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Jonas Traub, Philipp M. Grulich, Alejandro Rodriguez Cuellar, Sebastian Breß, Asterios Katsifodimos, Tilmann Rabl, Volker Markl:
Efficient Window Aggregation with General Stream Slicing. EDBT 2019: 97-108
[c125]
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Behrouz Derakhshan, Alireza Rezaei Mahdiraji, Tilmann Rabl, Volker Markl:
Continuous Deployment of Machine Learning Pipelines. EDBT 2019: 397-408
[c124]
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Dimitrios Giouroukis, Julius Hülsmann, Janis von Bleichert, Morgan Geldenhuys, Tim Stullich, Felipe Oliveira Gutierrez, Jonas Traub, Kaustubh Beedkar, Volker Markl:
Resense: Transparent Record and Replay of Sensor Data in the Internet of Things. EDBT 2019: 590-593
[c123]
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Ariane Ziehn, Marcela Charfuelan, Holmer Hemsen, Volker Markl:
Time Series Similarity Search for Streaming Data in Distributed Systems. EDBT/ICDT Workshops 2019
[c122]
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Olha Horlova, Abdulrahman Kaitoua, Volker Markl, Stefano Ceri:
Multi-Dimensional Genomic Data Management for Region-Preserving Operations. ICDE 2019: 1166-1177
[c121]
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Abdulrahman Kaitoua, Tilmann Rabl, Asterios Katsifodimos, Volker Markl:
Muses: Distributed Data Migration System for Polystores. ICDE 2019: 1602-1605
[c120]
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Gencer Sumbul, Marcela Charfuelan, Begüm Demir, Volker Markl:
Bigearthnet: A Large-Scale Benchmark Archive for Remote Sensing Image Understanding. IGARSS 2019: 5901-5904
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Katarzyna Juraszek, Nidhi Saini, Marcela Charfuelan, Holmer Hemsen, Volker Markl:
Extended Kalman Filter for Large Scale Vessels Trajectory Tracking in Distributed Stream Processing Systems. AALTD@PKDD/ECML 2019: 151-166
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Sergey Redyuk, Sebastian Schelter, Tammo Rukat, Volker Markl, Felix Bießmann:
Learning to Validate the Predictions of Black Box Machine Learning Models on Unseen Data. HILDA@SIGMOD 2019: 4:1-4:4
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Jeyhun Karimov, Tilmann Rabl, Volker Markl:
AStream: Ad-hoc Shared Stream Processing. SIGMOD Conference 2019: 607-622
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Vincent Deuschle, Alexander Alexandrov, Tim Januschowski, Volker Markl:
End-to-End Benchmarking of Deep Learning Platforms. TPCTC 2019: 116-132
[i16]
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Gencer Sumbul, Marcela Charfuelan, Begüm Demir, Volker Markl:
BigEarthNet: A Large-Scale Benchmark Archive For Remote Sensing Image Understanding. CoRR abs/1902.06148 (2019)
[i15]
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Jonas Traub, Jorge-Arnulfo Quiané-Ruiz, Zoi Kaoudi, Volker Markl:
Agora: Towards An Open Ecosystem for Democratizing Data Science & Artificial Intelligence. CoRR abs/1909.03026 (2019)
[i14]
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Steffen Zeuch, Ankit Chaudhary, Bonaventura Del Monte, Haralampos Gavriilidis, Dimitrios Giouroukis, Philipp M. Grulich, Sebastian Breß, Jonas Traub, Volker Markl:
The NebulaStream Platform: Data and Application Management for the Internet of Things. CoRR abs/1910.07867 (2019)
[i13]
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Jonas Traub, Julius Hülsmann, Sebastian Breß, Tilmann Rabl, Volker Markl:
SENSE: Scalable Data Acquisition from Distributed Sensors with Guaranteed Time Coherence. CoRR abs/1912.04648 (2019)
2018
[j49]
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Clemens Lutz, Sebastian Breß, Tilmann Rabl, Steffen Zeuch, Volker Markl:
Efficient and Scalable k‑Means on GPUs. Datenbank-Spektrum 18(3): 157-169 (2018)
[j48]
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Volker Markl:
Eine nationale Daten- und Analyseinfrastruktur als Grundlage digitaler Souveränität. Inform. Spektrum 41(6): 433-439 (2018)
[j47]
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Chen Xu, Rudi Poepsel Lemaitre, Juan Soto, Volker Markl:
Fault-Tolerance for Distributed Iterative Dataflows in Action. Proc. VLDB Endow. 11(12): 1990-1993 (2018)
[j46]
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Ziawasch Abedjan, Sebastian B. Simonsen, Volker Markl, Tilmann Rabl, Juan Soto:
Data Management Systems Research at TU Berlin. SIGMOD Rec. 47(4): 23-28 (2018)
[j45]
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Sebastian Breß, Bastian Köcher, Henning Funke, Steffen Zeuch, Tilmann Rabl, Volker Markl:
Generating custom code for efficient query execution on heterogeneous processors. VLDB J. 27(6): 797-822 (2018)
[j44]
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Quoc-Cuong To, Juan Soto, Volker Markl:
A survey of state management in big data processing systems. VLDB J. 27(6): 847-872 (2018)
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Niklas Stoehr, Johannes Meyer, Volker Markl, Qiushi Bai, Taewoo Kim, De-Yu Chen, Chen Li:
Heatflip: Temporal-Spatial Sampling for Progressive Heat Maps on Social Media Data. IEEE BigData 2018: 3723-3732
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Andreas Kunft, Lukas Stadler, Daniele Bonetta, Cosmin Basca, Jens Meiners, Sebastian Breß, Tilmann Rabl, Juan José Fumero, Volker Markl:
ScootR: Scaling R Dataframes on Dataflow Systems. SoCC 2018: 288-300
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Clemens Lutz, Sebastian Breß, Tilmann Rabl, Steffen Zeuch, Volker Markl:
Efficient k-means on GPUs. DaMoN 2018: 3:1-3:3
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Volker Markl:
Mosaics in Big Data: Stratosphere, Apache Flink, and Beyond. DEBS 2018: 7-13
[c111]
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Philipp M. Grulich, René Saitenmacher, Jonas Traub, Sebastian Breß, Tilmann Rabl, Volker Markl:
Scalable Detection of Concept Drifts on Data Streams with Parallel Adaptive Windowing. EDBT 2018: 477-480
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Tobias Behrens, Viktor Rosenfeld, Jonas Traub, Sebastian Breß, Volker Markl:
Efficient SIMD Vectorization for Hashing in OpenCL. EDBT 2018: 489-492
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Jonas Traub, Philipp Marian Grulich, Alejandro Rodriguez Cuellar, Sebastian Breß, Asterios Katsifodimos, Tilmann Rabl, Volker Markl:
Scotty: Efficient Window Aggregation for Out-of-Order Stream Processing. ICDE 2018: 1300-1303
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Jeyhun Karimov, Tilmann Rabl, Asterios Katsifodimos, Roman Samarev, Henri Heiskanen, Volker Markl:
Benchmarking Distributed Stream Data Processing Systems. ICDE 2018: 1507-1518
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Henning Funke, Sebastian Breß, Stefan Noll, Volker Markl, Jens Teubner:
Pipelined Query Processing in Coprocessor Environments. SIGMOD Conference 2018: 1603-1618
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Jeyhun Karimov, Tilmann Rabl, Volker Markl:
PolyBench: The First Benchmark for Polystores. TPCTC 2018: 24-41
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Christoph Boden, Tilmann Rabl, Sebastian Schelter, Volker Markl:
Benchmarking Distributed Data Processing Systems for Machine Learning Workloads. TPCTC 2018: 42-57
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Volker Markl:
Query Processing (in Relational Databases). Encyclopedia of Database Systems (2nd ed.) 2018
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Volker Markl, Vinayak R. Borkar, Matei Zaharia, Till Westmann, Alexander Alexandrov:
Big Data Platforms for Data Analytics. Encyclopedia of Database Systems (2nd ed.) 2018
[i12]
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Jeyhun Karimov, Tilmann Rabl, Asterios Katsifodimos, Roman Samarev, Henri Heiskanen, Volker Markl:
Benchmarking Distributed Stream Processing Engines. CoRR abs/1802.08496 (2018)
[i11]
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Gábor E. Gévay, Tilmann Rabl, Sebastian Breß, Lorand Madai-Tahy, Volker Markl:
Labyrinth: Compiling Imperative Control Flow to Parallel Dataflows. CoRR abs/1809.06845 (2018)
2017
[j43]
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Sebastian Dorok, Sebastian Breß, Jens Teubner, Horstfried Läpple, Gunter Saake, Volker Markl:
Efficiently Storing and Analyzing Genome Data in Database Systems. Datenbank-Spektrum 17(2): 139-154 (2017)
[j42]
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Andreas Kunft, Asterios Katsifodimos, Sebastian Schelter, Tilmann Rabl, Volker Markl:
BlockJoin: Efficient Matrix Partitioning Through Joins. Proc. VLDB Endow. 10(13): 2061-2072 (2017)
[j41]
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Martin Kiefer, Max Heimel, Sebastian Breß, Volker Markl:
Estimating Join Selectivities using Bandwidth-Optimized Kernel Density Models. Proc. VLDB Endow. 10(13): 2085-2096 (2017)
[j40]
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Chen Xu, Markus Holzemer, Manohar Kaul, Juan Soto, Volker Markl:
On Fault Tolerance for Distributed Iterative Dataflow Processing. IEEE Trans. Knowl. Data Eng. 29(8): 1709-1722 (2017)
[j39]
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Chen Li, Volker Markl:
Special issue on best papers of VLDB 2015. VLDB J. 26(1): 1-2 (2017)
[j38]
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Chen Li, Volker Markl:
Erratum to: Special issue on best papers of VLDB 2015. VLDB J. 26(1): 3 (2017)
[c104]
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Till Rohrmann, Sebastian Schelter, Tilmann Rabl, Volker Markl:
Gilbert: Declarative Sparse Linear Algebra on Massively Parallel Dataflow Systems. BTW 2017: 269-288
[c103]
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Sebastian Dorok, Sebastian Breß, Jens Teubner, Horstfried Läpple, Gunter Saake, Volker Markl:
Efficient Storage and Analysis of Genome Data in Databases. BTW 2017: 423-442
[c102]
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Alexander Alexandrov, Georgi Krastev, Bernd Louis, Andreas Salzmann, Volker Markl:
Emma in Action: Deklarative Datenflüsse für Skalierbare Datenanalyse. BTW 2017: 609
[c101]
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Jonas Traub, Sebastian Breß, Tilmann Rabl, Asterios Katsifodimos, Volker Markl:
Optimized on-demand data streaming from sensor nodes. SoCC 2017: 586-597
[c100]
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Philipp M. Grulich, Tilmann Rabl, Volker Markl, Csaba István Sidló, András A. Benczúr:
STREAMLINE - Streamlined Analysis of Data at Rest and Data in Motion. EDBT/ICDT Workshops 2017
[c99]
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Bonaventura Del Monte, Jeyhun Karimov, Alireza Rezaei Mahdiraji, Tilmann Rabl, Volker Markl:
PROTEUS: Scalable Online Machine Learning for Predictive Analytics and Real-Time Interactive Visualization. EDBT/ICDT Workshops 2017
[c98]
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Jonas Traub, Nikolaas Steenbergen, Philipp M. Grulich, Tilmann Rabl, Volker Markl:
I²: Interactive Real-Time Visualization for Streaming Data. EDBT 2017: 526-529
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Anja Feldmann, Manfred Hauswirth, Volker Markl:
Enabling Wide Area Data Analytics with Collaborative Distributed Processing Pipelines (CDPPs). ICDCS 2017: 1915-1918
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Volker Markl:
Mosaics: Stratosphere, Flink and Beyond. ICDE 2017: 3
[c95]
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Christoph Boden, Andrea Spina, Tilmann Rabl, Volker Markl:
Benchmarking Data Flow Systems for Scalable Machine Learning. BeyondMR@SIGMOD 2017: 5:1-5:10
[c94]
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Christoph Boden, Alexander Alexandrov, Andreas Kunft, Tilmann Rabl, Volker Markl:
PEEL: A Framework for Benchmarking Distributed Systems and Algorithms. TPCTC 2017: 9-24
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Paris Carbone, Gábor E. Gévay, Gábor Hermann, Asterios Katsifodimos, Juan Soto, Volker Markl, Seif Haridi:
Large-Scale Data Stream Processing Systems. Handbook of Big Data Technologies 2017: 219-260
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Volker Markl, Salvatore Orlando, Bernhard Mitschang, Periklis Andritsos, Kai-Uwe Sattler, Sebastian Breß:
Proceedings of the 20th International Conference on Extending Database Technology, EDBT 2017, Venice, Italy, March 21-24, 2017. OpenProceedings.org 2017, ISBN 978-3-89318-073-8 [contents]
[i10]
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Quoc-Cuong To, Juan Soto, Volker Markl:
A Survey of State Management in Big Data Processing Systems. CoRR abs/1702.01596 (2017)
[i9]
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Sebastian Breß, Bastian Köcher, Henning Funke, Tilmann Rabl, Volker Markl:
Generating Custom Code for Efficient Query Execution on Heterogeneous Processors. CoRR abs/1709.00700 (2017)
2016
[j37]
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Daniel Abadi, Rakesh Agrawal, Anastasia Ailamaki, Magdalena Balazinska, Philip A. Bernstein, Michael J. Carey, Surajit Chaudhuri, Jeffrey Dean, AnHai Doan, Michael J. Franklin, Johannes Gehrke, Laura M. Haas, Alon Y. Halevy, Joseph M. Hellerstein, Yannis E. Ioannidis, H. V. Jagadish, Donald Kossmann, Samuel Madden, Sharad Mehrotra, Tova Milo, Jeffrey F. Naughton, Raghu Ramakrishnan, Volker Markl, Christopher Olston, Beng Chin Ooi, Christopher Ré, Dan Suciu, Michael Stonebraker, Todd Walter, Jennifer Widom:
The Beckman report on database research. Commun. ACM 59(2): 92-99 (2016)
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Tilmann Rabl, Jonas Traub, Asterios Katsifodimos, Volker Markl:
Apache Flink in current research. it Inf. Technol. 58(4): 157-165 (2016)
[j35]
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Alexander Alexandrov, Asterios Katsifodimos, Georgi Krastev, Volker Markl:
Implicit Parallelism through Deep Language Embedding. SIGMOD Rec. 45(1): 51-58 (2016)
[j34]
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Uwe Jugel, Zbigniew Jerzak, Gregor Hackenbroich, Volker Markl:
VDDA: automatic visualization-driven data aggregation in relational databases. VLDB J. 25(1): 53-77 (2016)
[c93]
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Johannes Kirschnick, Holmer Hemsen, Volker Markl:
JEDI: Joint Entity and Relation Detection using Type Inference. ACL (System Demonstrations) 2016: 61-66
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Uwe Jugel, Zbigniew Jerzak, Volker Markl:
Big data on a few pixels. IEEE BigData 2016: 895-900
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Paris Carbone, Jonas Traub, Asterios Katsifodimos, Seif Haridi, Volker Markl:
Cutty: Aggregate Sharing for User-Defined Windows. CIKM 2016: 1201-1210
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Chen Xu, Markus Holzemer, Manohar Kaul, Volker Markl:
Efficient fault-tolerance for iterative graph processing on distributed dataflow systems. ICDE 2016: 613-624
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Malte Schwarzer, Moritz Schubotz, Norman Meuschke, Corinna Breitinger, Volker Markl, Bela Gipp:
Evaluating Link-based Recommendations for Wikipedia. JCDL 2016: 191-200
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Moritz Schubotz, Alexey Grigorev, Marcus Leich, Howard S. Cohl, Norman Meuschke, Bela Gipp, Abdou S. Youssef, Volker Markl:
Semantification of Identifiers in Mathematics for Better Math Information Retrieval. SIGIR 2016: 135-144
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Andreas Kunft, Alexander Alexandrov, Asterios Katsifodimos, Volker Markl:
Bridging the gap: towards optimization across linear and relational algebra. BeyondMR@SIGMOD 2016: 1
[c86]
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Alexander Alexandrov, Andreas Salzmann, Georgi Krastev, Asterios Katsifodimos, Volker Markl:
Emma in Action: Declarative Dataflows for Scalable Data Analysis. SIGMOD Conference 2016: 2073-2076
[i8]
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Wikor Pronobis, Danny Panknin, Johannes Kirschnick, Vignesh Srinivasan, Wojciech Samek, Volker Markl, Manohar Kaul, Klaus-Robert Müller, Shinichi Nakajima:
Sharing Hash Codes for Multiple Purposes. CoRR abs/1609.03219 (2016)
[i7]
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András A. Benczúr, Róbert Pálovics, Márton Balassi, Volker Markl, Tilmann Rabl, Juan Soto, Björn Hovstadius, Jim Dowling, Seif Haridi:
Towards Streamlined Big Data Analytics. ERCIM News 2016(107) (2016)
2015
[j33]
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Paris Carbone, Asterios Katsifodimos, Stephan Ewen, Volker Markl, Seif Haridi, Kostas Tzoumas:
Apache Flink™: Stream and Batch Processing in a Single Engine. IEEE Data Eng. Bull. 38(4): 28-38 (2015)
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Volker Markl:
Gesprengte Ketten - Smart Data, deklarative Datenanalyse, Apache Flink. Inform. Spektrum 38(1): 10-15 (2015)
[j31]
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Chen Li, Volker Markl:
Front Matter. Proc. VLDB Endow. 8(12): i-xiv (2015)
[c85]
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Julio C. S. dos Anjos, Marcos D. Assuncao, Jean Luca Bez, Cláudio F. R. Geyer, Edison Pignaton de Freitas, Alexandre Carissimi, João Paulo Carvalho Lustosa da Costa, Gilles Fedak, Felix Freitag, Volker Markl, Paul Fergus, Rubem Pereira:
SMART: An Application Framework for Real Time Big Data Analysis on Heterogeneous Cloud Environments. CIT/IUCC/DASC/PICom 2015: 199-206
[c84]
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Volker Markl, Erhard Rahm, Wolfgang Lehner, Michael Beigl, Thomas Seidl:
Big Data-Zentren - Vorstellung und Panel. BTW 2015: 477-479
[c83]
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Max Heimel, Martin Kiefer, Volker Markl:
Demonstrating Transfer-Efficient Sample Maintenance on Graphics Cards. EDBT 2015: 513-516
[c82]
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Sebastian Schelter, Juan Soto, Volker Markl, Douglas Burdick, Berthold Reinwald, Alexandre V. Evfimievski:
Efficient sample generation for scalable meta learning. ICDE 2015: 1191-1202
[c81]
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Jonas Traub, Tilmann Rabl, Fabian Hueske, Till Rohrmann, Volker Markl:
Die Apache Flink Plattform zur parallelen Analyse von Datenströmen und Stapeldaten. LWA 2015: 403-408
[c80]
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Moritz Schubotz, Abdou Youssef, Volker Markl, Howard S. Cohl:
Challenges of Mathematical Information Retrievalin the NTCIR-11 Math Wikipedia Task. SIGIR 2015: 951-954
[c79]
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Alexander Alexandrov, Andreas Kunft, Asterios Katsifodimos, Felix Schüler, Lauritz Thamsen, Odej Kao, Tobias Herb, Volker Markl:
Implicit Parallelism through Deep Language Embedding. SIGMOD Conference 2015: 47-61
[c78]
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Sergey Dudoladov, Chen Xu, Sebastian Schelter, Asterios Katsifodimos, Stephan Ewen, Kostas Tzoumas, Volker Markl:
Optimistic Recovery for Iterative Dataflows in Action. SIGMOD Conference 2015: 1439-1443
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Max Heimel, Martin Kiefer, Volker Markl:
Self-Tuning, GPU-Accelerated Kernel Density Models for Multidimensional Selectivity Estimation. SIGMOD Conference 2015: 1477-1492
[c76]
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Viktor Rosenfeld, Max Heimel, Christoph Viebig, Volker Markl:
The Operator Variant Selection Problem on Heterogeneous Hardware. ADMS@VLDB 2015: 1-12
2014
[j30]
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Michael Schermann, Holmer Hemsen, Christoph Buchmüller, Till Bitter, Helmut Krcmar, Volker Markl, Thomas Hoeren:
Big Data - An Interdisciplinary Opportunity for Information Systems Research. Bus. Inf. Syst. Eng. 6(5): 261-266 (2014)
[j29]
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Chen Li, Volker Markl:
Front Matter. Proc. VLDB Endow. 7(7): i-ix (2014)
[j28]
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Uwe Jugel, Zbigniew Jerzak, Gregor Hackenbroich, Volker Markl:
M4: A Visualization-Oriented Time Series Data Aggregation. Proc. VLDB Endow. 7(10): 797-808 (2014)
[j27]
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Sebastian Breß, Max Heimel, Michael Saecker, Bastian Köcher, Volker Markl, Gunter Saake:
Ocelot/HyPE: Optimized Data Processing on Heterogeneous Hardware. Proc. VLDB Endow. 7(13): 1609-1612 (2014)
[j26]
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Uwe Jugel, Zbigniew Jerzak, Gregor Hackenbroich, Volker Markl:
Faster Visual Analytics through Pixel-Perfect Aggregation. Proc. VLDB Endow. 7(13): 1705-1708 (2014)
[j25]
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Volker Markl:
Breaking the Chains: On Declarative Data Analysis and Data Independence in the Big Data Era. Proc. VLDB Endow. 7(13): 1730-1733 (2014)
[j24]
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Chen Li, Volker Markl:
Front Matter. Proc. VLDB Endow. 8(1): i-ix (2014)
[j23]
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Daniel J. Abadi, Rakesh Agrawal, Anastasia Ailamaki, Magdalena Balazinska, Philip A. Bernstein, Michael J. Carey, Surajit Chaudhuri, Jeffrey Dean, AnHai Doan, Michael J. Franklin, Johannes Gehrke, Laura M. Haas, Alon Y. Halevy, Joseph M. Hellerstein, Yannis E. Ioannidis, H. V. Jagadish, Donald Kossmann, Samuel Madden, Sharad Mehrotra, Tova Milo, Jeffrey F. Naughton, Raghu Ramakrishnan, Volker Markl, Christopher Olston, Beng Chin Ooi, Christopher Ré, Dan Suciu, Michael Stonebraker, Todd Walter, Jennifer Widom:
The Beckman Report on Database Research. SIGMOD Rec. 43(3): 61-70 (2014)
[j22]
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Alexander Alexandrov, Rico Bergmann, Stephan Ewen, Johann-Christoph Freytag, Fabian Hueske, Arvid Heise, Odej Kao, Marcus Leich, Ulf Leser, Volker Markl, Felix Naumann, Mathias Peters, Astrid Rheinländer, Matthias J. Sax, Sebastian Schelter, Mareike Höger, Kostas Tzoumas, Daniel Warneke:
The Stratosphere platform for big data analytics. VLDB J. 23(6): 939-964 (2014)
[j21]
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Michael Schermann, Holmer Hemsen, Christoph Buchmüller, Till Bitter, Helmut Krcmar, Volker Markl, Thomas Hoeren:
Big Data - Eine interdisziplinäre Chance für die Wirtschaftsinformatik. Wirtschaftsinf. 56(5): 281-287 (2014)
[c75]
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Max Heimel, Filip Haase, Martin Meinke, Sebastian Breß, Michael Saecker, Volker Markl:
Demonstrating Self-Learning Algorithm Adaptivity in a Hardware-Oblivious Database Engine. EDBT 2014: 616-619
[c74]
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Volker Markl:
Breaking the Chains: On Declarative Analysis and Independence in the Big Data Era. GI-Jahrestagung 2014: 719-720
[c73]
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Christoph Brücke, Marie Hoffmann, Juan Soto, Volker Markl:
Challenges and Opportunities in Big Data Generation. Informatiktage 2014: 25-28
[c72]
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Moritz Schubotz, Abdou Youssef, Volker Markl, Howard S. Cohl, Jimmy J. Li:
Evaluation of Similarity-Measure Factors for Formulae Based on the NTCIR-11 Math Task. NTCIR 2014
[c71]
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Vasiliki Kalavri, Stephan Ewen, Kostas Tzoumas, Vladimir Vlassov, Volker Markl, Seif Haridi:
Asymmetry in Large-Scale Graph Analysis, Explained. GRADES 2014: 4:1-4:7
[c70]
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Tomas Karnagel, Matthias Hille, Mario Ludwig, Dirk Habich, Wolfgang Lehner, Max Heimel, Volker Markl:
Demonstrating efficient query processing in heterogeneous environments. SIGMOD Conference 2014: 693-696
[c69]
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Marie Hoffmann, Alexander Alexandrov, Periklis Andritsos, Juan Soto, Volker Markl:
Composite Key Generation on a Shared-Nothing Architecture. TPCTC 2014: 188-203
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Fabian Hueske, Volker Markl:
Optimization of Massively Parallel Data Flows. Large-Scale Data Analytics 2014: 41-74
2013
[j20]
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Max Heimel, Michael Saecker, Holger Pirk, Stefan Manegold, Volker Markl:
Hardware-Oblivious Parallelism for In-Memory Column-Stores. Proc. VLDB Endow. 6(9): 709-720 (2013)
[c68]
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Marcus Leich, Jochen Adamek, Moritz Schubotz, Arvid Heise, Astrid Rheinländer, Volker Markl:
Applying Stratosphere for Big Data Analytics. BTW 2013: 507-510
[c67]
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Sebastian Schelter, Stephan Ewen, Kostas Tzoumas, Volker Markl:
"All roads lead to Rome": optimistic recovery for distributed iterative data processing. CIKM 2013: 1919-1928
[c66]
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Fabian Hueske, Mathias Peters, Aljoscha Krettek, Matthias Ringwald, Kostas Tzoumas, Volker Markl, Johann-Christoph Freytag:
Peeking into the optimization of data flow programs with MapReduce-style UDFs. ICDE 2013: 1292-1295
[c65]
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Moritz Schubotz, Marcus Leich, Volker Markl:
Querying Large Collections of Mathematical Publications: NTCIR10 Math Task. NTCIR 2013
[c64]
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Sebastian Schelter, Christoph Boden, Martin Schenck, Alexander Alexandrov, Volker Markl:
Distributed matrix factorization with mapreduce using a series of broadcast-joins. RecSys 2013: 281-284
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Alexander Alexandrov, Christoph Brücke, Volker Markl:
Issues in big data testing and benchmarking. DBTest 2013: 1:1-1:5
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Stephan Ewen, Sebastian Schelter, Kostas Tzoumas, Daniel Warneke, Volker Markl:
Iterative parallel data processing with stratosphere: an inside look. SIGMOD Conference 2013: 1053-1056
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Christoph Boden, Marcel Karnstedt, Miriam Fernández, Volker Markl:
Large-scale social-media analytics on stratosphere. WWW (Companion Volume) 2013: 257-260
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Volker Markl, Gunter Saake, Kai-Uwe Sattler, Gregor Hackenbroich, Bernhard Mitschang, Theo Härder, Veit Köppen:
Datenbanksysteme für Business, Technologie und Web (BTW), 15. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS), 11.-15.3.2013 in Magdeburg, Germany. Proceedings. LNI P-214, GI 2013, ISBN 978-3-88579-608-4 [contents]
2012
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Stephan Ewen, Kostas Tzoumas, Moritz Kaufmann, Volker Markl:
Spinning Fast Iterative Data Flows. Proc. VLDB Endow. 5(11): 1268-1279 (2012)
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Alexander Alexandrov, Kostas Tzoumas, Volker Markl:
Myriad: Scalable and Expressive Data Generation. Proc. VLDB Endow. 5(12): 1890-1893 (2012)
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Michael Saecker, Volker Markl:
Big Data Analytics on Modern Hardware Architectures: A Technology Survey. eBISS 2012: 125-149
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Katrin Eisenreich, Jochen Adamek, Philipp Rösch, Volker Markl, Gregor Hackenbroich:
Correlation Support for Risk Evaluation in Databases. ICDE 2012: 1180-1191
[c58]
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Sebastian Schelter, Christoph Boden, Volker Markl:
Scalable similarity-based neighborhood methods with MapReduce. RecSys 2012: 163-170
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Enno Folkerts, Alexander Alexandrov, Kai Sachs, Alexandru Iosup, Volker Markl, Cafer Tosun:
Benchmarking in the Cloud: What It Should, Can, and Cannot Be. TPCTC 2012: 173-188
[c56]
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Max Heimel, Volker Markl:
A First Step Towards GPU-assisted Query Optimization. ADMS@VLDB 2012: 33-44
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Elke A. Rundensteiner, Volker Markl, Ioana Manolescu, Sihem Amer-Yahia, Felix Naumann, Ismail Ari:
15th International Conference on Extending Database Technology, EDBT '12, Berlin, Germany, March 27-30, 2012, Proceedings. ACM 2012, ISBN 978-1-4503-0790-1 [contents]
[i6]
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Stephan Ewen, Kostas Tzoumas, Moritz Kaufmann, Volker Markl:
Spinning Fast Iterative Data Flows. CoRR abs/1208.0088 (2012)
2011
[j17]
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Yuexiao Li, Volker Markl:
Das Fachgebiet "Datenbanksysteme und Informationsmanagement" (DIMA) an der Technischen Universität Berlin stellt sich vor. Datenbank-Spektrum 11(2): 127-130 (2011)
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Serge Abiteboul, Volker Markl, Tova Milo, Jignesh M. Patel:
Special issue: best papers of VLDB 2009. VLDB J. 20(2): 155-156 (2011)
[c55]
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Alexander Alexandrov, Stephan Ewen, Max Heimel, Fabian Hueske, Odej Kao, Volker Markl, Erik Nijkamp, Daniel Warneke:
MapReduce and PACT - Comparing Data Parallel Programming Models. BTW 2011: 25-44
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Jochen Adamek, Katrin Eisenreich, Volker Markl, Philipp Rösch:
Operators for Analyzing and Modifying Probabilistic Data - A Question of Efficiency. BTW 2011: 454-473
[c53]
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Volker Markl:
Information Management in the Cloud - Parallel Dataflow Programming Beyond Map/Reduce. COMAD 2011: 4
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Martin L. Kersten, Alfons Kemper, Volker Markl, Anisoara Nica, Meikel Poess, Kai-Uwe Sattler:
Tractor pulling on data warehouses. DBTest 2011: 7
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Malú Castellanos, Umeshwar Dayal, Volker Markl:
Enabling Real-Time Business Intelligence - 4th International Workshop, BIRTE 2010, Held at the 36th International Conference on Very Large Databases, VLDB 2010, Singapore, September 13, 2010, Revised Selected Papers. Lecture Notes in Business Information Processing 84, Springer 2011, ISBN 978-3-642-22969-5 [contents]
[i5]
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Anastassia Ailamaki, Michael J. Carey, Donald Kossmann, Steve Loughran, Volker Markl:
Information Management in the Cloud (Dagstuhl Seminar 11321). Dagstuhl Reports 1(8): 1-28 (2011)
2010
[j15]
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Alexander Alexandrov, Dominic Battré, Stephan Ewen, Max Heimel, Fabian Hueske, Odej Kao, Volker Markl, Erik Nijkamp, Daniel Warneke:
Massively Parallel Data Analysis with PACTs on Nephele. Proc. VLDB Endow. 3(2): 1625-1628 (2010)
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Peter Buneman, Volker Markl, Beng Chin Ooi, Kenneth A. Ross:
Special issue: best papers of VLDB 2008. VLDB J. 19(1): 1-2 (2010)
[c51]
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Katrin Eisenreich, Gregor Hackenbroich, Volker Markl, Philipp Rösch, Robert Schulze:
Handling of Uncertainty and Temporal Indeterminacy for What-if Analysis. BIRTE 2010: 100-115
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Dominic Battré, Stephan Ewen, Fabian Hueske, Odej Kao, Volker Markl, Daniel Warneke:
Nephele/PACTs: a programming model and execution framework for web-scale analytical processing. SoCC 2010: 119-130
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David Campbell, Brian Cooper, Dean Jacobs, Ashok Joshi, Volker Markl, Srinivas Narayanan:
Cloudy skies for data management. ICDE 2010: 1209
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Goetz Graefe, Arnd Christian König, Harumi Anne Kuno, Volker Markl, Kai-Uwe Sattler:
Robust Query Processing, 19.09. - 24.09.2010. Dagstuhl Seminar Proceedings 10381, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Germany 2010 [contents]
[i4]
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Goetz Graefe, Arnd Christian König, Harumi Anne Kuno, Volker Markl, Kai-Uwe Sattler:
10381 Summary and Abstracts Collection - Robust Query Processing. Robust Query Processing 2010

2000 – 2009

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2009
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Peter J. Haas, Ihab F. Ilyas, Guy M. Lohman, Volker Markl:
Discovering and Exploiting Statistical Properties for Query Optimization in Relational Databases: A Survey. Stat. Anal. Data Min. 1(4): 223-250 (2009)
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Wook-Shin Han, Jaehwa Kim, Byung Suk Lee, Yufei Tao, Ralf Rantzau, Volker Markl:
Cost-Based Predictive Spatiotemporal Join. IEEE Trans. Knowl. Data Eng. 21(2): 220-233 (2009)
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Alexander Löser, Steffen Lutter, Patrick Düssel, Volker Markl:
Ad-Hoc Queries over Document Collections - A Case Study. BIRTE 2009: 50-65
[c47]
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Max Heimel, Volker Markl, Keshava Murthy:
A Bayesian Approach to Estimating the Selectivity of Conjunctive Predicates. BTW 2009: 47-56
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Volker Markl:
Query Processing (in Relational Databases). Encyclopedia of Database Systems 2009: 2288-2293
2008
[j11]
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Volker Markl:
Informationsintegration im Web 2.0. Datenbank-Spektrum 8(26): 11-16 (2008)
[j10]
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Wook-Shin Han, Wooseong Kwak, Jinsoo Lee, Guy M. Lohman, Volker Markl:
Parallelizing query optimization. Proc. VLDB Endow. 1(1): 188-200 (2008)
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Sihem Amer-Yahia, Volker Markl, Alon Y. Halevy, AnHai Doan, Gustavo Alonso, Donald Kossmann, Gerhard Weikum:
Databases and Web 2.0 panel at VLDB 2007. SIGMOD Rec. 37(1): 49-52 (2008)
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Alexander Löser, Fabian Hueske, Volker Markl:
Situational Business Intelligence. BIRTE 2008: 1-11
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Volker Markl, Mehmet Altinel, David E. Simmen, Ashutosh Singh:
Data Mashups for Situational Applications. MBSDI 2008: 12-18
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David E. Simmen, Mehmet Altinel, Volker Markl, Sriram Padmanabhan, Ashutosh Singh:
Damia: data mashups for intranet applications. SIGMOD Conference 2008: 1171-1182
[e2]
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Christoph Koch, Birgitta König-Ries, Volker Markl, Maurice van Keulen:
Uncertainty Management in Information Systems, 12.10. - 17.10.2008. Dagstuhl Seminar Proceedings 08421, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Germany 2008 [contents]
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Alfons Kemper, Patrick Valduriez, Noureddine Mouaddib, Jens Teubner, Mokrane Bouzeghoub, Volker Markl, Laurent Amsaleg, Ioana Manolescu:
EDBT 2008, 11th International Conference on Extending Database Technology, Nantes, France, March 25-29, 2008, Proceedings. ACM International Conference Proceeding Series 261, ACM 2008, ISBN 978-1-59593-926-5 [contents]
[i3]
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Christoph Koch, Birgitta König-Ries, Volker Markl, Maurice van Keulen:
08421 Abstracts Collection - Uncertainty Management in Information Systems. Uncertainty Management in Information Systems 2008
[i2]
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Christoph Koch, Birgitta König-Ries, Volker Markl, Maurice van Keulen:
08421 Executive Summary - Uncertainty Management in Information Systems. Uncertainty Management in Information Systems 2008
2007
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Volker Markl, Peter J. Haas, Marcel Kutsch, Nimrod Megiddo, Utkarsh Srivastava, Tam Minh Tran:
Consistent selectivity estimation via maximum entropy. VLDB J. 16(1): 55-76 (2007)
[c43]
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Alexander Behm, Volker Markl, Peter J. Haas, Keshava Murthy:
Integrating Query-Feedback Based Statistics into Informix Dynamic Server. BTW 2007: 582-600
[c42]
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Bishwaranjan Bhattacharjee, Joseph S. Glider, Richard A. Golding, Guy M. Lohman, Volker Markl, Hamid Pirahesh, Jun Rao, Robert M. Rees, Garret Swart:
Impliance: A Next Generation Information Management Appliance. CIDR 2007: 351-362
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Quanzhong Li, Minglong Shao, Volker Markl, Kevin S. Beyer, Latha S. Colby, Guy M. Lohman:
Adaptively Reordering Joins during Query Execution. ICDE 2007: 26-35
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Amr El-Helw, Ihab F. Ilyas, Wing Lau, Volker Markl, Calisto Zuzarte:
Collecting and Maintaining Just-in-Time Statistics. ICDE 2007: 516-525
[c39]
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Wook-Shin Han, Jack Ng, Volker Markl, Holger Kache, Mokhtar Kandil:
Progressive optimization in a shared-nothing parallel database. SIGMOD Conference 2007: 809-820
[c38]
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Marko Vrhovnik, Holger Schwarz, Oliver Suhre, Bernhard Mitschang, Volker Markl, Albert Maier, Tobias Kraft:
An Approach to Optimize Data Processing in Business Processes. VLDB 2007: 615-626
[c37]
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Peter J. Haas, Fabian Hueske, Volker Markl:
Detecting Attribute Dependencies from Query Feedback. VLDB 2007: 830-841
[c36]
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Mehmet Altinel, Paul Brown, Susan Cline, Rajesh Kartha, Eric Louie, Volker Markl, Louis Mau, Yip-Hing Ng, David E. Simmen, Ashutosh Singh:
DAMIA - A Data Mashup Fabric for Intranet Applications. VLDB 2007: 1370-1373
2006
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Karin Kailing, Alexander Löser, Volker Markl:
Challenges and Trends in Information Management. Datenbank-Spektrum 19: 15-22 (2006)
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Sam Lightstone, Guy M. Lohman, Peter J. Haas, Volker Markl, Jun Rao, Adam J. Storm, Maheswaran Surendra, Daniel C. Zilio:
Making DB2Products Self-Managing: Strategies and Experiences. IEEE Data Eng. Bull. 29(3): 16-23 (2006)
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Christian Garcia-Arellano, Sam Lightstone, Guy M. Lohman, Volker Markl, Adam J. Storm:
Autonomic features of the IBM DB2 universal database for linux, UNIX, and windows. IEEE Trans. Syst. Man Cybern. Syst. 36(3): 365-376 (2006)
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Victor Muntés-Mulero, Josep Aguilar-Saborit, Calisto Zuzarte, Volker Markl, Josep Lluís Larriba-Pey:
Analyzing the Genetic Operations of an Evolutionary Query Optimizer. BNCOD 2006: 240-244
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Stephan Ewen, Holger Kache, Volker Markl, Vijayshankar Raman:
Progressive Query Optimization for Federated Queries. EDBT 2006: 847-864
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Marcel Kutsch, Peter J. Haas, Volker Markl, Nimrod Megiddo, Tam Minh Tran:
Integrating a Maximum-Entropy Cardinality Estimator into DB2 UDB. EDBT 2006: 1092-1096
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Utkarsh Srivastava, Peter J. Haas, Volker Markl, Marcel Kutsch, Tam Minh Tran:
ISOMER: Consistent Histogram Construction Using Query Feedback. ICDE 2006: 39
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Victor Muntés-Mulero, Josep Lluís Larriba-Pey, Josep Aguilar-Saborit, Calisto Zuzarte, Volker Markl:
An inside analysis of a genetic-programming based optimizer. IDEAS 2006: 249-255
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Volker Markl, Marcel Kutsch, Tam Minh Tran, Peter J. Haas, Nimrod Megiddo:
MAXENT: consistent cardinality estimation in action. SIGMOD Conference 2006: 775-777
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Holger Kache, Wook-Shin Han, Volker Markl, Vijayshankar Raman, Stephan Ewen:
POP/FED: Progressive Query Optimization for Federated Queries in DB2. VLDB 2006: 1175-1178
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Bishwaranjan Bhattacharjee, Vuk Ercegovac, Joseph S. Glider, Richard A. Golding, Guy M. Lohman, Volker Markl, Hamid Pirahesh, Jun Rao, Robert M. Rees, Frederick Reiss, Eugene J. Shekita, Garret Swart:
Impliance: A Next Generation Information Management Appliance. CoRR abs/cs/0612129 (2006)
2005
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Stephan Ewen, Michael Ortega-Binderberger, Volker Markl:
A learning optimizer for a federated database management system. Inform. Forsch. Entwickl. 20(3): 138-151 (2005)
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Stephan Ewen, Michael Ortega-Binderberger, Volker Markl:
A Learning Optimizer for a Federated Database Management System. BTW 2005: 87-106
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Peter J. Haas, Mokhtar Kandil, Alberto Lerner, Volker Markl, Ivan Popivanov, Vijayshankar Raman, Daniel C. Zilio:
Automated statistics collection in action. SIGMOD Conference 2005: 933-935
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Volker Markl, Nimrod Megiddo, Marcel Kutsch, Tam Minh Tran, Peter J. Haas, Utkarsh Srivastava:
Consistently Estimating the Selectivity of Conjuncts of Predicates. VLDB 2005: 373-384
2004
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Kenneth A. Ross, Peter A. Boncz, Ihab F. Ilyas, Volker Markl, Vasilis Vassalos:
Reminiscences on Influential Papers. SIGMOD Rec. 33(4): 91-92 (2004)
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Ihab F. Ilyas, Volker Markl, Peter J. Haas, Paul G. Brown, Ashraf Aboulnaga:
Automatic Relationship Discovery in Self-Managing Database Systems. ICAC 2004: 340-341
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Ihab F. Ilyas, Volker Markl, Peter J. Haas, Paul Brown, Ashraf Aboulnaga:
CORDS: Automatic Discovery of Correlations and Soft Functional Dependencies. SIGMOD Conference 2004: 647-658
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Volker Markl, Vijayshankar Raman, David E. Simmen, Guy M. Lohman, Hamid Pirahesh:
Robust Query Processing through Progressive Optimization. SIGMOD Conference 2004: 659-670
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Ashraf Aboulnaga, Peter J. Haas, Sam Lightstone, Guy M. Lohman, Volker Markl, Ivan Popivanov, Vijayshankar Raman:
Automated Statistics Collection in DB2 UDB. VLDB 2004: 1146-1157
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Vijayshankar Raman, Volker Markl, David E. Simmen, Guy M. Lohman, Hamid Pirahesh:
Progressive Optimization in Action. VLDB 2004: 1337-1340
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Ihab F. Ilyas, Volker Markl, Peter J. Haas, Paul G. Brown, Ashraf Aboulnaga:
CORDS: Automatic Generation of Correlation Statistics in DB2. VLDB 2004: 1341-1344
2003
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Volker Markl, Guy M. Lohman, Vijayshankar Raman:
LEO: An autonomic query optimizer for DB2. IBM Syst. J. 42(1): 98-106 (2003)
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Roland Pieringer, Klaus Elhardt, Frank Ramsak, Volker Markl, Robert Fenk, Rudolf Bayer:
Transbase: a Leading-edge ROLAP Engine Supporting Multidimensional Indexing and Hierarchy Clustering. BTW 2003: 648-667
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Roland Pieringer, Klaus Elhardt, Frank Ramsak, Volker Markl, Robert Fenk, Rudolf Bayer, Nikos Karayannidis, Aris Tsois, Timos K. Sellis:
Combining Hierarchy Encoding and Pre-Grouping: Intelligent Grouping in Star Join Processing. ICDE 2003: 329-340
2002
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Robert Fenk, Volker Markl, Rudolf Bayer:
Interval Processing with the UB-Tree. IDEAS 2002: 12-22
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Volker Markl, Guy M. Lohman:
Learning table access cardinalities with LEO. SIGMOD Conference 2002: 613
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Nikos Karayannidis, Aris Tsois, Timos K. Sellis, Roland Pieringer, Volker Markl, Frank Ramsak, Robert Fenk, Klaus Elhardt, Rudolf Bayer:
Processing Star Queries on Hierarchically-Clustered Fact Tables. VLDB 2002: 730-741
2001
[c14]
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Roland Pieringer, Volker Markl, Frank Ramsak, Rudolf Bayer:
HINTA: A Linearization Algorithm for Physical Clustering of Complex OLAP Hierarchies. DMDW 2001: 11
[c13]
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Volker Markl, Frank Ramsak, Roland Pieringer, Robert Fenk, Klaus Elhardt, Rudolf Bayer:
The Transbase Hypercube RDBMS: Multidimensional Indexing of Relational Tables. ICDE Demo Sessions 2001: 4-6
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Martin Zirkel, Volker Markl, Rudolf Bayer:
Exploitation of Pre-sortedness for Sorting in Query Processing: The TempTris-Algorithm for UB-Trees. IDEAS 2001: 155-166
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Frank Ramsak, Volker Markl, Robert Fenk, Rudolf Bayer, Thomas Ruf:
Interactive ROLAP on Large Datasets: A Case Study with UB-Trees. IDEAS 2001: 167-176
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Michael Stillger, Guy M. Lohman, Volker Markl, Mokhtar Kandil:
LEO - DB2's LEarning Optimizer. VLDB 2001: 19-28
2000
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Volker Markl:
Mistral - Processing Relational Queries using a Multidimensional Access Technique. Datenbank Rundbr. 26: 24-25 (2000)
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Volker Markl, Rudolf Bayer:
Processing relational OLAP queries with UB-Trees and multidimensional hierarchical clustering. DMDW 2000: 1
[c8]
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Roland Pieringer, Volker Markl, Rudolf Bayer:
Modellierung und Verwaltung hierarchisch strukturierter Informationen in relationalen Datenbanksystemen. Grundlagen von Datenbanken 2000: 81-85
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Robert Fenk, Akihiko Kawakami, Volker Markl, Rudolf Bayer, Shunji Osaki:
Bulk Loading a Data Warehouse Built Upon a UB-Tree. IDEAS 2000: 179-187
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Volker Markl, Rudolf Bayer:
A Cost Function for Uniformly Partitioned UB-Trees. IDEAS 2000: 410-416
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Frank Ramsak, Volker Markl, Robert Fenk, Martin Zirkel, Klaus Elhardt, Rudolf Bayer:
Integrating the UB-Tree into a Database System Kernel. VLDB 2000: 263-272

1990 – 1999

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1999
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Volker Markl:
MISTRAL: Processing Relational Queries using a Multidimensional Access Technique. University of Mannheim, Germany, DISDBIS 59, Infix Verlag, St. Augustin, Germany 1999, ISBN 3-89601-459-5, pp. 1-208
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Frank Ramsak, Volker Markl, Rudolf Bayer:
Physical Data Modeling for Multidimensional Access Methods. Grundlagen von Datenbanken 1999: 97-101
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Volker Markl, Martin Zirkel, Rudolf Bayer:
Processing Operations with Restrictions in RDBMS without External Sorting: The Tetris Algorithm. ICDE 1999: 562-571
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Volker Markl, Frank Ramsak, Rudolf Bayer:
Improving OLAP Performance by Multidimensional Hierarchical Clustering. IDEAS 1999: 165-177
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Volker Markl:
MISTRAL: Processing Relational Queries using a Multidimensional Access Technique. Ausgezeichnete Informatikdissertationen 1999: 158-168
1998
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Volker Markl:
The Tetris-Algorithm for Sorted Reading from UB-Tree. Grundlagen von Datenbanken 1998: 89-93

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