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ORCIDRobert Andrews 0001
Person information
- affiliation: Queensland University of Technology, Brisbane, Australia
Other persons with the same name
- Robert Andrews 0002 — University of Queensland, Brisbane, Australia
- Robert Andrews 0003
![[0000-0002-6979-8757]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-6979-8757")
— Institute for Advanced Study, Princeton, NJ, USA (and 1 more)
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2020 – today
- 2024
[j12]Adam Banham, Arthur H. M. ter Hofstede, Sander J. J. Leemans, Felix Mannhardt, Robert Andrews, Moe Thandar Wynn:
Comparing Conformance Checking for Decision Mining: An Axiomatic Approach. IEEE Access 12: 60276-60298 (2024)- 2023
- [j11]Arthur H. M. ter Hofstede, Agnes Koschmider, Andrea Marrella, Robert Andrews, Dominik Andreas Fischer, Sareh Sadeghianasl, Moe Thandar Wynn, Marco Comuzzi, Jochen De Weerdt, Kanika Goel, Niels Martin, Pnina Soffer:
Process-Data Quality: The True Frontier of Process Mining. ACM J. Data Inf. Qual. 15(3): 29:1-29:21 (2023) - [c16]Rebekah Eden, Rehan Syed, Tendai Makasi, Robert Andrews, Arthur H. M. ter Hofstede, Moe Wynn, Raelene Donovan, Robert Eley, Andrew Staib:
Revealing the Root Causes of Digital Health Data Quality Issues: A Qualitative Investigation of the Odigos Framework. HICSS 2023: 3035-3044 - [c15]Kanika Goel, Sareh Sadeghianasl, Robert Andrews, Arthur H. M. ter Hofstede, Moe Wynn, Dakshi Kapugama Geeganage, Sander J. J. Leemans, James M. McGree, Rebekah Eden, Andrew Staib, Rob Eley, Raelene Donovan:
Digital Health Data Imperfection Patterns and Their Manifestations in an Australian Digital Hospital. HICSS 2023: 3235-3244 - 2022
- [j10]Adam Banham, Sander J. J. Leemans, Moe Thandar Wynn, Robert Andrews, Kevin B. Laupland, Lucy Shinners:
xPM: Enhancing exogenous data visibility. Artif. Intell. Medicine 133: 102409 (2022) - [j9]Dominik Andreas Fischer, Kanika Goel, Robert Andrews, Christopher G. J. van Dun, Moe Thandar Wynn, Maximilian Röglinger:
Towards interactive event log forensics: Detecting and quantifying timestamp imperfections. Inf. Syst. 109: 102039 (2022) - [j8]Jorge Munoz-Gama, Niels Martin, Carlos Fernández-Llatas, Owen A. Johnson, Marcos Sepúlveda, Emmanuel Helm, Victor Galvez-Yanjari, Eric Rojas, Antonio Martinez-Millana, Davide Aloini, Ilaria Angela Amantea, Robert Andrews, Michael Arias, Iris Beerepoot, Elisabetta Benevento, Andrea Burattin, Daniel Capurro, Josep Carmona, Marco Comuzzi, Benjamin Dalmas, Rene de la Fuente, Chiara Di Francescomarino, Claudio Di Ciccio, Roberto Gatta, Chiara Ghidini, Fernanda Gonzalez-Lopez, Gema Ibáñez-Sánchez, Hilda B. Klasky, Angelina Prima Kurniati, Xixi Lu, Felix Mannhardt, Ronny Mans, Mar Marcos, Renata Medeiros de Carvalho, Marco Pegoraro, Simon K. Poon, Luise Pufahl, Hajo A. Reijers, Simon Remy, Stefanie Rinderle-Ma, Lucia Sacchi, Fernando Seoane, Minseok Song, Alessandro Stefanini, Emilio Sulis, Arthur H. M. ter Hofstede, Pieter J. Toussaint, Vicente Traver, Zoe Valero-Ramon, Inge van de Weerd, Wil M. P. van der Aalst, Rob J. B. Vanwersch, Mathias Weske, Moe Thandar Wynn, Francesca Zerbato:
Process mining for healthcare: Characteristics and challenges. J. Biomed. Informatics 127: 103994 (2022) - [j7]Robert Andrews, Kanika Goel, Paul Corry, Robert L. Burdett, Moe Thandar Wynn, Donna Callow:
Process data analytics for hospital case-mix planning. J. Biomed. Informatics 129: 104056 (2022) - 2021
- [j6]Erik Poppe, Anastasiia Pika, Moe Thandar Wynn, Rebekah Eden, Robert Andrews, Arthur H. M. ter Hofstede:
Extracting Best-Practice Using Mixed-Methods. Bus. Inf. Syst. Eng. 63(6): 637-651 (2021) - [c14]Adam Banham, Sander J. J. Leemans, Moe Thandar Wynn, Robert Andrews:
xPM: A Framework for Process Mining with Exogenous Data. ICPM Workshops 2021: 85-97 - 2020
- [j5]Robert Andrews, Christopher G. J. van Dun, Moe Thandar Wynn, Wolfgang Kratsch, Maximilian Röglinger, Arthur H. M. ter Hofstede:
Quality-informed semi-automated event log generation for process mining. Decis. Support Syst. 132: 113265 (2020) - [c13]Dominik Andreas Fischer, Kanika Goel, Robert Andrews, Christopher G. J. van Dun, Moe Thandar Wynn, Maximilian Röglinger:
Enhancing Event Log Quality: Detecting and Quantifying Timestamp Imperfections. BPM 2020: 309-326 - [c12]Fahame Emamjome, Robert Andrews, Arthur H. M. ter Hofstede, Hajo A. Reijers:
Alohomora: Unlocking Data Quality Causes Through Event Log Context. ECIS 2020 - [c11]Fahame Emamjome, Robert Andrews, Arthur H. M. ter Hofstede, Hajo A. Reijers:
Signpost - a Semiotics-based Process Mining Methodology. ECIS 2020 - [c10]Robert Andrews, Fahame Emamjome, Arthur H. M. ter Hofstede, Hajo A. Reijers:
An Expert Lens on Data Quality in Process Mining. ICPM 2020: 49-56
2010 – 2019
- 2019
- [c9]Moe Thandar Wynn, Suriadi Suriadi, Rebekah Eden, Erik Poppe, Anastasiia Pika, Robert Andrews, Arthur H. M. ter Hofstede:
Grounding Process Data Analytics in Domain Knowledge: A Mixed-Method Approach to Identifying Best Practice. BPM Forum 2019: 163-179 - [c8]Fahame Emamjome, Robert Andrews, Arthur H. M. ter Hofstede:
A Case Study Lens on Process Mining in Practice. OTM Conferences 2019: 127-145 - 2018
- [c7]Robert Andrews, Moe Thandar Wynn, Kirsten Vallmuur, Arthur H. M. ter Hofstede, Emma Bosley, Mark Elcock, Stephen Rashford:
Pre-hospital Retrieval and Transport of Road Trauma Patients in Queensland - A Process Mining Analysis. Business Process Management Workshops 2018: 199-213 - [c6]Prabhakar M. Dixit, Suriadi Suriadi, Robert Andrews, Moe Thandar Wynn, Arthur H. M. ter Hofstede, Joos C. A. M. Buijs, Wil M. P. van der Aalst:
Detection and Interactive Repair of Event Ordering Imperfection in Process Logs. CAiSE 2018: 274-290 - [c5]Robert Andrews, Suriadi Suriadi, Chun Ouyang, Erik Poppe:
Towards Event Log Querying for Data Quality - Let's Start with Detecting Log Imperfections. OTM Conferences (1) 2018: 116-134 - [p2]Robert Andrews, Moe Wynn, Arthur H. M. ter Hofstede, Jingxin Xu, Kylie Horton, Paul Taylor, Sue Plunkett-Cole:
Exposing Impediments to Insurance Claims Processing. Business Process Management Cases 2018: 275-290 - [p1]Robert Andrews, Suriadi Suriadi, Moe Wynn, Arthur H. M. ter Hofstede, Sean Rothwell:
Improving Patient Flows at St. Andrew's War Memorial Hospital's Emergency Department Through Process Mining. Business Process Management Cases 2018: 311-333 - 2017
- [j4]Suriadi Suriadi, Robert Andrews, Arthur H. M. ter Hofstede, Moe Thandar Wynn:
Event log imperfection patterns for process mining: Towards a systematic approach to cleaning event logs. Inf. Syst. 64: 132-150 (2017) - [c4]Xixi Lu, Dirk Fahland, Robert Andrews, Suriadi Suriadi, Moe Thandar Wynn, Arthur H. M. ter Hofstede, Wil M. P. van der Aalst:
Semi-supervised Log Pattern Detection and Exploration Using Event Concurrence and Contextual Information. OTM Conferences (1) 2017: 154-174 - [c3]Robert Andrews, Moe Thandar Wynn:
Shelf Time Analysis in CTP Insurance Claims Processing. PAKDD (Workshops) 2017: 151-162
2000 – 2009
- 2002
- [j3]Robert Andrews, Shlomo Geva:
Rule extraction from local cluster neural nets. Neurocomputing 47(1-4): 1-20 (2002)
1990 – 1999
- 1998
- [j2]Alan B. Tickle, Robert Andrews, Mostefa Golea, Joachim Diederich:
The truth will come to light: directions and challenges in extracting the knowledge embedded within trained artificial neural networks. IEEE Trans. Neural Networks 9(6): 1057-1068 (1998) - [c2]Alan B. Tickle, Frédéric Maire, Guido Bologna, Robert Andrews, Joachim Diederich:
Lessons from Past, Current Issues, and Future Research Directions in Extracting the Knowledge Embedded in Artificial Neural Networks. Hybrid Neural Systems 1998: 226-239 - 1997
- [c1]Robert Andrews, Shlomo Geva:
Refining Expert Knowledge with an Artificial Neural Network. ICONIP (2) 1997: 847-850 - 1995
- [j1]Robert Andrews, Joachim Diederich, Alan B. Tickle:
Survey and critique of techniques for extracting rules from trained artificial neural networks. Knowl. Based Syst. 8(6): 373-389 (1995)
Coauthor Index
aka: Moe Wynn
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