Please note that some papers have long presentations (25 minutes + 5 minutes
for questions) and some have short presentations (15 minutes + 5 minutes
for questions).
We have a tight schedule, so if you're doing a laptop presentation,
test connections in the break and switch over to your laptop during the
question period of the speaker before you.
Registered authors are in bold.
9-10AM: Session I: Predicting User Accesses
-
9:00-9:10 Introductions
-
9:10-9:30 Alexandros Nanopoulos, Dimitrios Katsaros, Yannis Manolopoulos,
Effective Prediction of Web-user Accesses, A Data Mining Approach
(short talk). Postscript, PDF.
-
9:30-10:00 Shigeru Oyanagi, Kazuto Kubota, Akihiko Nakase, Application
of Matrix Clustering to Web Log Analysis and Access Prediction (long talk).
PDF
10-10:30AM: Break
10:30-Noon: Session II: Recommender Systems and Acess Modeling
-
10:30-10:50 Lars Schmidt-Thieme, Wolfgang Gaul, Recommender
Systems Based on Navigation Path Features (short talk). Postscript,
PDF
-
10:50-11:20 Andreas Geyer-Schulz, Michael Hahsler, Maximillian Jahn,
A Customer Purchase Incidence Model Applied to Recommender Systems for
Web Sites (long talk). Postscript,
PDF
-
11:20-11:40 Joshua Zhexue Huang, Joe Ng, David W. Cheung, Michael
K. Ng, A Cube Model for Web Access Sessions and Cluster Analysis
(short talk).
Postscript, PDF.
-
11:40-noon Bettina Berendt, Understanding web usage at different
levels of abstraction: coarsening and visualizing sequences (short talk).
Postscript,
PDF.
Noon - 1:30PM: Lunch Break
1:30PM-3:00PM: Session III: Acquiring and Modelling Data and Patterns
-
1:30-1:50 Cyrus Shahabi, Jabed Faruque, Milad Ershaghi, Farnoush
Banaei-Kashani, A Reliable, Efficient, and Scalable System for Web Usage
Data Acquisition (short talk). Postscript,
PDF
-
1:50-2:20 Pang-Ning Tan, Vipin Kumar, Mining Indirect Associations
in Web Data (long talk). Compressed postscript,
PDF.
-
2:20-2:50 John R. Punin, Mukkai S. Krishnamoorthy, Mohammed J.
Zaki, LOGML - Log Markup Language for Web Usage Mining (long talk).
PDF
2:50-3:00: Short break
3:00-4:00PM: Discussion and Summary
4:00-4:30PM: Break
The workshop papers will be published by Springer-Verlag in LNAI
(Lecture Notes in Artificial Intelligence) as a post-proceedings book.
Additional details are available at: http://robotics.Stanford.EDU/~ronnyk/WEBKDD2001/index.html
Updated Aug 5, 2001
webkdd@cs.stanford.edu