The 2006 IEEE International Conference on Data Mining
18 - 22 December 2006, Hong Kong
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Program Committee
Program Committee

Program Committee
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Program Co-Chairs

Christopher W. Clifton Purdue University, USA
Ning Zhong Maebashi Institute of Technology, Japan

Program Committee Vice-chairs

Foundations of data mining, complexity/scalability

Aristides Gionis University of Helsinki, Finland

AI aspects of data mining

Qiang Yang Hong Kong University of Science and Technology, Hong Kong

Traditional data mining

Naren Ramakrishnan Virginia Tech, USA

Statistics/probability, quality assessment

Howard Hamilton University of Regina, Canada

Data warehousing, pre-processing/post-processing

Rosa Meo Universit` degli Studi di Torino, Italy

New/unstructured data types

Hiroki Arimura Hokkaido University, Japan

Data streams, high performance, distributed/parallel

David Cheung University of Hong Kong, Hong Kong

Data and knowledge representation

Yves Kodratoff Universite Paris-Sud, France

Applications, security/privacy, societal impact

Philip Chan Florida Institute of Technology, USA

Mining in multiple data sources

Shichao Zhang University of Technology, Sydney, Australia

Interestingness, peculiarity, exception and outlier

Alex Tuzhilin New York University, USA

Machine learning and soft-computing for data mining

Zhi-Hua Zhou Nanjing University, China


Tu Bao Ho JAIST, Japan

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