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Chengqi Zhang

报告题目:In-Depth Data Mining 

报告人:Chengqi Zhang,  Professor,Information Technology,University of Technology, Sydney

报告时间:2005年7月5日14:30  

报告地点:蒙民伟楼404会议室

摘要:
Existing association rule mining algorithms are specifically designed to find strong patterns that have high predictive accuracy or correlation. Many useful patterns, for example, out-expectation patterns with low supports, are certainly pruned in these mining algorithms. This talk introduces our ongoing research developing novel theories, techniques and methodologies for discovering hidden interactions within data, such as class-bridge rules and out-expectation patterns. These patterns are essentially different from traditional association rules, but are much more useful than traditional ones to applications such as cross-sales, trend prediction, detecting behavior changes, and recognizing rare but significant events. This delivers a paradigm shift from existing data mining techniques. 
 
个人简介:
Chengqi Zhang has been a Research Professor in Faculty of Information Technology at University of Technology, Sydney (UTS) since 2001. He received a PhD degree from the University of Queensland, Brisbane in Computer Science and a Doctor of Science (higher doctorate) degree from Deakin University, Australia. His research interests include Data Mining and Multi-Agent Systems. He has published about 100 refereed papers and three monographs, including 12 top-journal papers in Artificial Intelligence, Information Systems and IEEE/ACM Transactions. He is the leader of Data Mining Program in Capital Market Cooperative Research Centre and a member of UTS Research Management Committee.  He is a Senior Member of the IEEE Computer Society (IEEE), a member of Steering Committee of PRICAI (Pacific Rim International Conference on Artificial Intelligence) and PAKDD (Pacific-Asia Conference on Knowledge Discovery and Data Mining), serving as an Associate Editors for three international journals, including IEEE Transactions on Knowledge and Data Engineering, served as General Chair, PC Chair, or Organising Chair for four international Conferences and a member of Program Committees for many international or national conferences. His personal web page is at http://www-staff.it.uts.edu.au/~chengqi/




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