David Alvarez		II.25	Seaching the World Wide Web

Anh Dung Duong Ngo	II.19	Sampling Large Databases for Association Rules

Bill Stump		II.2	Visualization Techniques for Mining Large Databases: A Comparison

Bob France		II.23	The Effects of Training Size on Decision Tree Complexity, Oates & Jensen

Asha Nallana		II.7	User Profiling in Personalizing Applications through Rule Discovery and Validataion

Howard Curtis		II.26	Empirical Analysis of Predictive Algorithms for Collaborative Filtering

Thomas Soong		I.4	Chameleon: Hierachical Clustering Using Dynamic Modeling

Balaji Natrajan		II.13	SLIQ: A fast scalable classifier for Data mining

Derek Saldana		II.1	Comprehensible Knowledge Discovery: Gaining Insight from Data

Robert Goluba		II.27	Fast Similarity Search in the Presence of Noise, Scaling, and Translation in Time-Series Databases

Harold Zhu		II.15	Support vector classifiers: a first look

Sanjeev Mohan		II.28	What Makes Patterns Interesting in Knowledge Discovery Systems

David Vickers		II.35	Interactive Data Analysis: The Control Project

Tuan M. Nguyen		II.29	Real-World Data is Dirty: Data Cleansing and The Merge/Purge Problem

Marget Millikin		II.9	A Statistical Theory for Quantitative Association Rules

Morris E. Albers II	II.31	Statistics and Data Mining Techniques for LifeTime Value Modeling

Charles Cao		II.17	On Support Vector Decision Trees for Database Marketing

Brian Buras		II.8	Using Association Rules for Product Assortment Decisions: A Case Study

Michael Fahy		II.20	Density Biased Sampling: An Improved Method for Data Mining and Clustering