Meetings

The 2002 IEEE International Conference on Data Mining Sponsored by the IEEE Computer Society

Maebashi TERRSA, Maebashi City, Japan December 9 - 12, 2002

On-line registration (and other information) at http://kis.maebashi-it.ac.jp/icdm02 http://www.wi-lab.com/icdm02

The 2002 IEEE International Conference on Data Mining (IEEE ICDM '02) provides a leading international forum for the sharing of original research results and practical development experiences among researchers and application developers from different data mining related areas such as machine learning, automated scientific discovery, statistics, pattern recognition, knowledge acquisition, soft computing, databases and data warehousing, data visualization, and knowledge-based systems. The conference seeks solutions to challenging problems facing the development of data mining systems, and shapes future directions of research by promoting high quality, novel and daring research findings. As an important part of the conference, the workshops program will focus on new research challenges and initiatives.

With the support of both world-renowned experts and new researchers from the international data mining community, ICDM '02 has received an overwhelming response compared to any other data mining related conference this year: 369 paper submissions (22 industry track) from 36 countries and regions, 9 workshop proposals, and 39 tutorial proposals.

Invited Speakers:

• Jaime Carbonell, Carnegie Mellon University, USA
• Satoru Miyano, University of Tokyo, Japan
• Hiroshi Motoda, Osaka University, Japan
• Stephen Muggleton, Imperial College, UK
• Steve Smale, (a fields medallist) University of California at Berkeley, USA
• Jeffrey D. Ullman, Stanford University, USA

• Powerful Database Primitives to Support High Performance Data Mining by Christian Bohm (University for Health Informatics and Tech., Austria)
• Relational Data Mining by Saso Dzeroski (Jozef Stefan Institute, Slovenia)
• Avoiding Common Causes of Data Mining Project Failure by Monte F. Hancock, Jr. (CSI Corporation, USA)
• An Introduction to Knowledge Discovery in Medical Databases by John H. Holmes (University of Pennsylvania School of Medicine, USA)
• Data Mining in Bioinformatics by Gautam Singh (Oakland University, USA)
• Rough Set Data Analysis - A road to non-invasive knowledge discovery by Ivo Duntsch (Brock University, Canada) and Gunther Gediga (Institut fur Evaluation und Marktanalysen, Germany)

• International Workshop on Active Mining (AM-2002) www.ar.sanken.osaka-u.ac.jp/activemining/am2002.html

• The Foundation of Data Mining and Discovery www.mathcs.sjsu.edu/faculty/tylin/icdm02_workshop.html

• Workshop on Data Mining for Cyber Threat Analysis www-users.cs.umn.edu/~aleks/icdm02w/

• Workshop on Privacy, Security, and Data Mining www.cs.purdue.edu/homes/clifton/psdm.html

• First International Workshop on Data Cleaning and Preprocessing www-staff.it.uts.edu.au/~zhangsc/dataclean.htm

The conference will organize a tour during the conference to Ikaho hot spring resort area, one of the most famous hot springs areas in Japan, and have a banquet and best papers award ceremony at Kogure Hotel in Ikaho, as well as a reception at the Maebashi TERRSA.