The potential of Associative Classifiers
Speaker: Dr Osmar R. Zaiane, University of Alberta, Canada
When: 2005-12-01 10:00:00
Venue: 78-420
Host: Prof Xiaofang Zhou
Abstract:There are countless paradigms and strategies for devising a
classifier. Associative classifiers use association rules as a model
and are a very new approach to rule-based classification. While
they are still less accurate than other approaches, they have many
advantages and certainly potential in many applications. We will
briefly introduce associative classifiers, discuss their main three
phases: rule generation, rule pruning and rule selection, and
highlight the differences between the suggested strategies. We will
also present our current research work targeting theses individual
three phases to improve the effectiveness of such classifiers.
Biography:http://www.cs.ualberta.ca/~zaiane/htmldocs/bio.html
Osmar R. Zaane is an Associate Professor in Computing Science at the
University of Alberta, Canada. Dr. Zaiane joined the University of
Alberta in July of 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 70 papers in refereed international
conferences and journals, and taught on all six continents. Osmar
Zaane 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, 2003 and 2005. He was
guest-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. Osmar Zaane is the ACM SIGKDD
Explorations Associate Editor and Associate Editor of the
International Journal of Internet Technology and Secured
Transactions.
Type: EII Seminar
Contact:Prof Xiaofang Zhou, seminar host (zxf@itee.uq.edu.au)
or Guido Governatori (ITEE seminar co-ordinator)
(guido@itee.uq.edu.au)