First SIAM International Conference
on Data Mining
Program
This program was created on February
17, 2001, and will not reflect changes made to the schedule subesquent
to that date. A brief synopsis and presenter bio is provided for keynotes
and tutorials. Full text in Adobe® Acrobat® PDFTM
format is provided for all session papers. The final order and content
of the workshops had not been determined when the contents for the
CD-ROM were finalized. Specific information about the workshops is
available in the hardcopy of the program.
| Thursday | Friday
| Saturday |
Wednesday, April 4, 2001
5:00 - 8:00 PM
Registration Opens
Exchange Rest Area
Thursday, April 5, 2001
7:00 - 4:00 PM
Registration
Exchange Rest Area
7:00 - 8:15 AM
Continental Breakfast
Adams
8:15 - 8:30 AM
Welcoming Remarks
Presidential Ballroom
8:30 - 9:30 AM
K1: Machine Learning and Extracting
Information from the Web
Tom M. Mitchell, Whizbang! Labs and Carnegie Mellon University
Presidential Ballroom
9:30 - 10:00 AM
Coffee Break
Pre-Function Area
10:00 - 12:00 PM
Concurrent Sessions
T1 : Data Mining for Science and Engineering Applications
Chandrika Kamath, Lawrence Livermore National Laboratory
Presidential Ballroom
L1
William Holabird Room
10:00 - 10:25 AM
Derivative Dynamic Time Warping
Eamonn J. Keogh and Michael
J. Pazzani
10:30 - 10:55 AM
Decomposition of Event Sequences into
Independent Components
Heikki Mannila and Dmitry Rusakov
11:00 - 11:25 AM
Finding Similar Situations in Sequences
of Events Via Random Projections
Heikki Mannila and Jouni K. Sepp�nen
11:30 - 11:55 AM
Selective Markov Models for Predicting
Web-Page Accesses
Mukund Deshpande and George
Karypis
L2
Daniel Burnham Room
10:00 - 10:25 AM
On the Performance of Bisecting K-Means
and PDDP
Sergio M. Savaresi and Daniel L. Boley
10:30 - 10:55 AM
Generalized K-Harmonic Means -- Dynamic
Weighting of Data in Unsupervised Learning
Bin Zhang
11:00 - 11:25 AM
Adaptive Grids for Clustering Massive
Data Sets
Harsha Nagesh, Sanjay Goil, and Alok Choudhary
11:30 - 11:55 AM
Detecting Seasonal Trends and Cluster
Motion Visualization for Very High Dimensional Transactional Data
Gunjan K. Gupta and Joydeep
Ghosh
12:00 - 1:45 PM
Lunch
On your own
1:45 - 2:45 PM
K2: Data Mining for Fun and Profit
David Hand, Imperial College, London
Presidential Ballroom
2:45 - 3:00 PM
Intermission
3:00 - 4:00 PM
Concurrent Sessions
T2: E-Commerce and Clickstream Mining
Ronny Kohavi, Blue Martini Software, Inc. and Jon Becher, Accrue Software,
Inc.
Presidential Ballroom
S1
William Holabird Room
3:00 - 3:25 PM
Cheaper by the Dozen: Batched Algorithms
Ben Gum and Richard Lipton
S2
Daniel Burnham Room
3:00 - 3:25 PM
Incremental Mining of Constrained Association
Rules
Ahmed M. Ayad, Nagwa M. El-Makky,
and Yousry Taha
3:30 - 3:55 PM
Using Simulated Pseudo Data to Speed
Up Statistical Predictive Modeling from Massive Data Sets
Ramesh Natarajan and Edwin Pednault, IBM, Thomas J. Watson Research Center
4:00 - 4:30 PM
Coffee Break
Pre-Function Area
4:30 - 6:00 PM
Concurrent Sessions
M1
William Holabird Room
4:30 - 4:55 PM
A Middleware for Developing Parallel Data
Mining Applications
Ruoming Jin and Gagan Agrawal
5:00 - 5:25 PM
Shared State for Client-Server Mining
Srinivasan Parthasarathy and Sandhya Dwarkadas
5:30 - 5:55 PM
A Fourier Analysis Based Approach to Learning
Decision Trees in a Distributed Environment
Byung-Hoon Park, Rajeev Ayyagari and Hillol Kargupta
M2
Daniel Burnham Room
4:30 - 4:55 PM
Automatic Textual Document Categorization
Using Multiple Similarity-Based Models
Kwok-Yin Lai and Wai Lam
5:00 - 5:25 PM
Dimension Reduction Based on Centroids
and Least Squares for Efficient Processing of Text Data
M. Jeon, H. Park, and J. B. Rosen
5:30 - 5:55 PM
Hierarchical Classification of Real Life
Documents
Ke Wang, Senqiang Zhou, and Yu He
4:30 - 6:30 PM
T2 : E-Commerce and Clickstream Mining (continued)
Presidential Ballroom
6:30 - 8:00 PM
Reception
Friday, April 6
7:00 - 4:00 PM
Registration
Exchange Rest Area
7:00 - 8:15 AM
Continental Breakfast
Adams
8:15 - 8:30 AM
Opening Remarks
Presidential Ballroom
8:30 - 9:30 AM
K3: Combining Discrete Algorithmic and Probabilistic
Approaches in Data Mining
Heikki Mannila, Nokia Research Center and Helsinki University of Technology
Presidential Ballroom
9:30 - 10:00 AM
Coffee Break
Pre-Function Area
10:00 - 12:00 PM
Concurrent Sessions
T3: Data Mining Meets the Internet: Techniques for
Web Information Retrieval and Network Data Management
Rajeev Rastogi and Minos Garofalakis, Bell Laboratories, Lucent Technologies
Presidential Ballroom
L3
William Holabird Room
10:00 - 10:25 AM
Improved Spatial-Temporal Forecasting
through Modeling of Spatial Residuals in Recent History
Dragoljub Pokrajac and
Zoran Obradovic
10:30 - 10:55 AM
Methods for Large-Scale Mining of Networks
of Human Genes
Tor-Kristian Jenssen, Lisa M.J. Öberg, Magnus L. Anderson, and Jan
Komorowski
11:00 - 11:25 AM
Mining the Detector Responses of a Conducting
Polymer Composite-Based Electronic Nose
M. C. Burl, S.
Briglin, B. Doleman, A. Hopkins, A. Matzger, D. N. Ortiz, A. Schaffer,
S. Upchurch, T. Vaid, and N. S. Lewis
11:30 - 11:55 AM
Looking for Nonlinearities in the Large
Scale Dynamics of the Atmosphere
Claudia Tebaldi, Doug Nychka, and Grant Branstator
L4
Daniel Burnham Room
10:00 - 10:25 AM
RSVM: Reduced Support Vector Machines
Yuh-Jye Lee and Olvi L. Mangasarian
10:30 - 10:55 AM
Boosting Localized Classifiers in Heterogeneous
Databases
Aleksandar Lazarevic and Zoran Obradovic
11:00 - 11:25 AM
Generating Classification Rules According
to User's Existing Knowledge
Shu Chen and Bing Liu
11:30 - 11:55 AM
Information-Theoretic Feature Crediting
in Multiclass Support Vector Machines
Vikas Sindhwani, Pushpak Bhattacharya, and Subrata Rakshit
12:00 - 1:45 PM
Lunch
On your own
1:45 - 2:45 PM
K4: Data Mining Meets E-Business: Opportunities and
Challenges
Umeshwar Dayal, Hewlett-Packard Laboratories
Presidential Ballroom
2:45 - 3:00 PM
Intermission
3:00 - 4:00 PM
Concurrent Sessions
T4: Data Mining for Genomics
George Karypis, University of Minnesota-Twin Cities
Presidential Ballroom
S3
William Holabird Room
3:00 - 3:25 PM
Mining Preferences from Spatial-Temporal
Data
Donald E. Brown, Hua Liu and Yifie Xue
3:25 - 3:55 PM
Modeling Spatial Dependencies for Mining
Geospatial Data
Sanjay Chawla, Shashi Shekhar,
Weili Wu, and Uygar Ozesmi
S4
Daniel Burnham Room
3:00 - 3:25 PM
Detecting Novel Network Intrusions Using
Bayes Estimators
Daniel Barbará, Ningning Wu, and Sushil Jajodia
3:25 - 3:55 PM
PNrule: A New Framework for Learning
Classifier Models in Data Mining (A Case Study in Network Intrusion Detection)
Ramesh C. Agarwal and Mahesh V. Joshi
4:00 - 4:30 PM
Coffee Break
Pre-Function Area
4:30 - 6:00 PM
Panel: Mining E-Business Data & Scentific Data: Is There a Difference?
Presidential Ballroom
Saturday, April 7
8:00 - 10:00 AM
Registration
Exchange Rest Area
7:00 - 8:15 AM
Continental Breakfast
Adams
8:15 - 8:30 AM
Opening Remarks
Presidential Ballroom
8:30 - 10:00 AM
Workshops
10:00 - 10:30 AM
Coffee Break
10:30 - 12:00 PM
Workshops
12:00 - 1:45 PM
Lunch
On your own
1:45 - 3:15 PM
Workshops
3:15 - 3:45 PM
Coffee Break
3:45 - 5:15 PM
Workshops
5:15 PM
Conference Adjourns
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