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Jiawei Han : ウィキペディア英語版
Jiawei Han

Jiawei Han (), is a Chinese computer scientist, and Abel Bliss Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign,〔(Knowledge Discovery and Data Mining, Database Systems )〕 who has been working on research into data mining, data warehousing, database systems, data mining from spatiotemporal data, Web data, and social/information network data.
== Biography ==
Born in Shanghai, China on 10 August 1949.〔(Jiawei Han Biography )〕 Han received his BS from University of Science and Technology of China in 1979 and his PhD from the University of Wisconsin in Computer Science in 1985.〔(Jiawei Han Abel Bliss Professor of Engineering )〕
He was a professor in the School of Computing Science at Simon Fraser University.〔(Jiawei Han : Database Systems, Data Mining and Data Warehousing )〕 Currently he is a professor, at the Department of Computer Science in the University of Illinois at Urbana-Champaign. He is also the Director of Information Network Academic Research Center (INARC) supported by Network Science Collaborative Technology Alliance (NSCTA) program of U.S. Army Research Lab (ARL).
Han has chaired or served on over 100 program committees of international conferences and workshops, including PC co-chair of 2005 (IEEE), International Conference on Data Mining (ICDM), Americas Coordinator of 2006 International Conference on Very Large Data Bases (VLDB). He also served as the founding Editor-In-Chief of ACM Transactions on Knowledge Discovery from Data.
He is an ACM fellow and an IEEE Fellow. He received the 2004 ACM SIGKDD Innovations Award,〔(Author Biography for Jiawei Han )〕 and the 2005 IEEE Computer Society Technical Achievement Award. The book: Han, Kamber and Pei, "Data Mining: Concepts and Techniques" (3rd ed., Morgan Kaufmann, 2011) has been popularly used as a textbook worldwide. He was the 2009 winner of the McDowell Award, the highest technical award made by IEEE.
He teaches courses CS412 - Data Mining and CS512 - Advanced Data Mining at University of Illinois, Urbana Champaign. His course CS412 - Data Mining is highly popular among students and is over-subscribed in each offering.

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