Associative Classification of Multimedia Documents

Osmar R. Zaiane

Computer Science
University of Alberta

Date: Friday, February 20, 2004
Place: CS Conference Room
_____ Engineering 1, Rm. 2114
Time: 4:00 pm — 5:00 pm (Refreshments served at 3:30 pm)

Abstract:
There are countless applications to what is commonly known as frequent itemset mining; from association rule mining, to recommender System building and even clustering and classification. We will motivate this talk with some examples drawn from the problems related to multimedia document categorization. Association rule mining and frequent pattern mining will be briefly introduced. A new approach for classification, appropriate for multimedia document categorization, using association rules, will be introduced before presenting some illustrative examples of applications for breast cancer detection with mammography analysis and text document classification.

Biography:
Osmar R. Zaïane is an Assistant Professor in Computing Science at the University of Alberta, Canada, since July 1999. He obtained a Master's degree in Electronics at the University of Paris, France, in 1989 and a Master's degree in Computer Science at Laval University, Canada, in 1992. He obtained his Ph.D. from Simon Fraser University, Canada, in 1999 under the supervision of Dr. Jiawei Han. His Ph.D. thesis work focused on web mining and multimedia data mining. He has research interests in novel data mining algorithms, web mining, text mining, image mining, and information retrieval. The main projects he is leading are DIVE-ON, an immersed virtual environment for data warehouse and data mining results visualization, MetaWeb, a web-content mining and web-warehousing system, ExaQuest, a data mining toolbox, and a web-usage mining project on web mining for web activity evaluation and intelligent restructuring of web-based learning environments. He has published more than 50 papers in international conferences and journals. Osmar Zaïane was the co-chair of the ACM SIGKDD International Workshop on Multimedia Data Mining in 2000, 2001 and 2002 as well as co-Chair of the ACM SIGKDD WebKDD workshop in 2002 and 2003. He was editor of the special issue on multimedia data mining of the journal of Intelligent Information Systems (Kluwer), and wrote multiple book chapters on multimedia mining and web mining. He has been an ACM Member since 1986.

Host: S. R. Jammalamadaka, Professor of Statistics