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Speaker:        Dr. Qiang Yang
                Associate Professor
                Department of Computer Science
                Hong Kong University of Science & Technology

Topic:          "Web and Customer Log Mining: From Knowledge Discovery to
                 Applications"

Date:           Monday, 22 October 2001

Time:           4:00pm - 5:00pm

Venue:          Lecture Theater F
                (Leung Yat Sing Lecture Theater, near lift nos. 25/26)
                The Hong Kong University of Science & Technology

ABSTRACT:

With the explosive growth of the web, a tremendous amount of web and
customer log data are becoming available.  By analyzing these data, we can
gain valuable insight into users' behavior and apply this knowledge to
improve the performance of web systems.  In this talk, I will present an
overview of our work on web log mining and case mining from customer logs.
I will first describe how to discover association-rule based prediction
models from a web log and apply these models for web caching, prefetching
and user interface design.  I will then discuss how to analyze data logs
accumulated at an web based application server to discover typical cases,
and how to use these cases for web-based diagnosis and recommendation.



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Biography:

Qiang Yang is a new faculty member at HKUST.  Prior to joining this
university, he was a faculty member at School of Computing Science, Simon
Fraser University and the Department of Computer Science, University of
Waterloo.  He received his Ph.D. from University Maryland, College Park in
Computer Science in 1989.  His primary research interests include data
mining, case-based reasoning, planning and machine learning. He was the
general chair of the 2001 International Conference on Case-based
Reasoning.



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