Submission Time	Name	Paper Title
Wed Jan 19 12:03 CST 2000	Dung Lam	Empirical Analysis of Predictive Algorithms for Collaborative Filtering
Tue Jan 18 18:00 CST 2000	Gretchen Schirag	Comprehensible Knowledge Discovery: Gaining Insight from Data
Tue Jan 25 09:59 CST 2000	Kung-Bin Sung	SLIQ: A Fast Scalable Classifier for Data Mining
Tue Jan 25 15:28 CST 2000	Muthaiah Venkatachalam	Searching the World Wide Web
Tue Jan 25 15:43 CST 2000	Xiaoyun Yang	What Makes Patterns Interesting in Knowledge Discovery Systems
Tue Jan 25 16:30 CST 2000	David Brunke	User Profiling in Personalization Applications through Rule Discovery and Validation
Tue Jan 25 16:42 CST 2000	Arindam Banerjee	Support vector classifiers: a first look
Tue Jan 25 17:28 CST 2000	Venkatesh Chandrasekaran	Interactive Data Analysis: The Control Project
Tue Jan 25 20:43 CST 2000	Kaushik Anand Ghate	Clustering Large Databases in Arbitrary Metric Spaces
Tue Jan 25 21:28 CST 2000	Arvind Siotia	Real-world Data is Dirty: Data Cleansing and The Merge/Purge Problem
Tue Jan 25 22:55 CST 2000	Jerome Froment-Curtil	A Survey of Methods for Scaling Up Inductive Learning Algorithms
Wed Jan 26 09:27 CST 2000	Austin Bingham	Constraint-Based Rule Mining in Large, Dense Databases
Wed Jan 26 10:24 CST 2000	Tianping (Tim) Huang	Density Biased Sampling: An Improved Method for Data Mining and Clustering
Wed Jan 26 11:35 CST 2000	Yousuf Bin Ahmed	A Statistical Theory for Quantitative Association Rules
Wed Jan 26 15:20 CST 2000	Joe Sing Paul Chan	Detecting Changes in Categorical Data: Mining Contrast Sets
Wed Jan 26 17:52 CST 2000	Bertrand Portier	The Effects of Training Set Size on Decision Tree Complexity
Wed Jan 26 21:04 CST 2000	Srujana Merugu	Scalable Parallel Data Mining for Association Rules
Thu Jan 27 11:29 CST 2000	Adrian Kujaneck Agogino	Visualization Techniques for Mining Large Databases: A Comparison
Sun Jan 30 12:51 CST 2000	Ismail Syed	Using Association Rules for Product Assortment Decisions: A Case Study
Sun Jan 30 23:26 CST 2000	Anish Sam Jacob	MetaCost: A General Method for Making Classifiers Cost-Sensitive
Mon Jan 31 13:17 CST 2000	Sanghoon Oh	Fast Similarity Search in the Presence of Noise, Scaling, and Translation in Time-Series Databases
Mon Jan 31 20:08 CST 2000	Alextair D. Mascarenhas	Statistics and Data Mining Techniques for Lifetime Value Modeling
Tue Feb 1 13:00 CST 2000	Vishal Mishra	An Interval Classifier for Database Mining Applications
Tue Feb 1 11:15 CST 2000	Roberto Francisco Zuniga	On Support Vector Decision Trees for Database Marketing
Tue Feb 1 15:35 CST 2000	Yuan Qu	Scaling EM (Expectation-Maximization) Clustering to Large Databases
Tue Feb 1 17:00 CST 2000	David C. James	The Impact of Changing Populations on Classifier Performance