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ORCID2. DMKD 1997: Tucson, Arizona, USA
- Workshop on Research Issues on Data Mining and Knowledge Discovery, DMKD 1997 in cooperation with ACM SIGMOD'97, Tucson, Arizona, USA, May 11, 1997. 1997
Objectives
Mining knowledge from large databases and data warehouses is a promising research area, with high application potential due to the huge amounts of data accumulated in databases, data warehouses, and other information repositories. Coupled with the rapid growth of data, data mining has attracted people from many different fields, including database systems, data warehouses, machine learning, knowledge acquisition, statistics, information retrieval, and data visualization. The past conferences and workshops dedicated to knowledge discovery in databases are associated with conferences with very diverse themes. It is important to have such a forum associated with database conferences as well to examine mining issues particularly related to database systems. Consequently, in June 1996, we organized a SIGMOD workshop on research issues on data mining and knowledge discovery. It was well attended and was widely considered to be successful in creating a forum for database researchers to exchange their research ideas and results in data mining. To continue to provide such a forum, we are organizing the second workshop again in cooperation with SIGMOD.
Program
Invited Talk
- Surajit Chaudhuri:
Issues in Decision Support over SQL Databases. DMKD 1997
Session I: Clustering/Classification
- Zhexue Huang:
A Fast Clustering Algorithm to Cluster Very Large Categorical Data Sets in Data Mining. DMKD 1997 - Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad Mobasher:
Clustering Based On Association Rule Hypergraphs. DMKD 1997 - Merwyn G. Taylor, Kilian Stoffel, James A. Hendler:
Ontology-based Induction of High Level Classification Rules. DMKD 1997
Session II: Applications
- Alvaro E. Monge, Charles Elkan:
An Efficient Domain-Independent Algorithm for Detecting Approximately Duplicate Database Records. DMKD 1997 - Parvathi Chundi, Umeshwar Dayal:
An Application of Adaptive Data Mining: Facilitating Web Information Access. DMKD 1997 - Min Wang, Balakrishna R. Iyer:
Efficient Roll-Up and Drill-Down Analysis for Large Data Sets. DMKD 1997
Session III: Association Rules
- Ke Wang:
Mining Association Patterns from Nested Databases. DMKD 1997 - Sau Dan Lee, David Wai-Lok Cheung:
Maintenance of Discovered Association Rules: When to update? DMKD 1997 - Ronen Feldman, Yonatan Aumann, Amihood Amir, Heikki Mannila:
Efficient Algorithms for Discovering Frequent Sets in Incremental Databases. DMKD 1997
Session IV: Miscellany
- Arun N. Swami, Brian Lent:
Sharing Processing in Data Mining System. DMKD 1997 - Alexander Tuzhilin:
A Pattern Discovery Algebra. DMKD 1997 - Jef Wijsen, Robert Meersman:
On the Complexity of Mining Temporal Trends. DMKD 1997
Summary Discussion
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