【Topic】Recent Research Progress in Frequent Pattern Mining

【Speaker】Jiawei Han

【Time】2007-5-28 10:30-11:30

【Venue】405, Weilun Building

【Language】English

【Organizer】Department of Management Science and Engineering

【Background Information】

ABSTRACT

Recent research progress in frequent pattern mining brings new promise in data mining applications in two aspects: (1) feature extraction for effective classification and (2) mining colossal patterns.My talk will cover the progress on these two themes based on our two recent research papers at ICDE'07.In the mean time, I am going to discuss a few promising research directions and predict their impacts on data mining.

Short bio:

Jiawei Han, Professor, Department of Computer Science,UniversityofIllinoisat Urbana-Champaign. He has been working on research into datamining, data warehousing, database systems, data mining fromspatiotemporal data, multimedia data, stream and RFID data, socialnetwork data, and biological data, with over 300 journal and conferencepublications.He has chaired or served in over 100 program committeesof international conferences and workshops, including PC co-chair of2005 (IEEE) International Conference on Data Mining (ICDM), AmericasCoordinator of 2006 International Conference on Very Large Data Bases

(VLDB). He is also serving as the founding Editor-In-Chief of ACM Transactions on Knowledge Discovery from Data.He is an ACM Fellow and has received 2004 ACM SIGKDD Innovations Award and 2005 IEEE Computer Society Technical Achievement Award. His book "Data Mining: Concepts and Techniques" (2nd ed., Morgan Kaufmann, 2006) has been popularly used as a textbook worldwide.