Yanlei Diao, Hongjun Lu, Dekai Wu:
A Comparative Study of Classification Based Personal E-mail Filtering

Maybin Muyeba, John Keane:
A Concurrent Approach to the Key-Preserving Attribute-Oriented Induction Method

Eamonn J. Keogh & Michael J. Pazzani:
A Simple Dimensionality Reduction Technique for Fast Similarity Search in Large Time Series Databases

Zhexue Huang, Tao Lin:
A Visual Method of Cluster Validation With Fastmap

Aleksandar Lazarevic, Tim Fiez, Zoran Obradobic:
Adaptive Boosting for Spatial Functions with Unstable Driving Attributes

Edward Hung, David W.Cheung, Ben Kao, Y.L..Liang:
An Optimization Problem in Data Cube System Design

Tao Zhang:
Association rules

T. Y. Lin, J. A. Trembal:
Attrubute Transformations on Numerical Databases Applications to Stock Market Data

Jiancho Han, Nick Cercone:
AVIZ: A Visualization System for Discovering Numeric Association Rules

Manoranjan Dash, Huan Liu, Hiroshi Motoda:
Consistency Based Feature Selection
David W. Cheung, Lian Wang, S.M. Yiu, and Bo Zhou:
Density-Based Mining of Quantitative Association Rules

Ryoichi Fujino, Hiroki Arimura, and Setsuo Arikawa:
Discovering Unordered and Ordered Phrase Association Patterns for Text Mining

Takashi Okada:
Efficient Detection of Local Interactions in Cascade Model

Farhad Hussain, Huan Liu, Einoshin Suzuki, Hongjun Lu:
Exception Rule Mining With a Relative Interestingness Measure

Takashi Matsuda, Tadashi Horiuchi, Hiroshi Motoda, Takashi Washio:
Extension of Graph-Based Induction for General Graph Structured Data

Seij Hotta , Kohei Inoue , Kiichi Urahama:
Extraction of Fuzzy Clusters from Weighted Graphs

Mobuhiro Yugami, Yuiko Ohta, Seishi Okamaoto:
Fast Discovery of Interesting Rules

Manoranjan Dash, Huan Liu:
Feature Selection for Clustering

Jean-Francois Boulicaut, Artur Bykowski:
Frequent Closures as a Concise Representation for Binary Data Mining

V. C. Jensen, N. Soparkar:
Frequent Itemset Counting Across Multiple Tables

Fosca Giannotti, Giuseppe Manco:
Making Knowledge Extraction and Reasoning Closer

Jinyan Li, Guozhu Dong, Kotaguri Ramamohanarao:
Making Use of Most Expressive Jumping Emerging Patterns for Classification

Grace W Rumantir:
Minimum Message Length Criterion for Second-order Polynomial Model Discovery

Jian Pei, Jiawei Han, Hua Zhu:
Mining Access Patterns Efficiently from Web Logs

Hirofumi Matsuzawa, Takeshi Fukuda:
Mining Structured Association Patterns from Databases

Slobodan Vucetic, Zoran Obradovic:
Performance Controlled Data Reduction for Knowledge Discovery in Distributed Databases

Tetsuhiro Miyahara, Takayoshi Shoudai, Tomoyuki Uchida, Kenichi Takahashi, Hiroaki Ueda:
Polynomial Time Matching Algorithms for Tree-like Structured Patternsin Knowledge Discovery

Chi-Kin Keung, Wai Lam:
Prototype Generation Based on Instance Filtering and Averaging

Carlos Domingo, Osamu Watanabe:
Scaling up a Boosting-Based Learner via Adaptive Sampling

Chi-Yuen Ng, Ben Kao, David Cheung:
Text-Source Discovery and Gloss Update in a Dynamic Web

Feng Tao , Fionn Murtagh:
Towards Knowledge Discovery from WWW Log Data

Dieter Merkl, Andreas Rauber:
Uncovering the Hierarchical Structure of Text Archives by Using an Unsupervised Neural Network with Adaptive Architecture

K. S. Candan, Wen-Syan Li:
Using Random Walks for Mining Web Document Associations

Shlomo Geva, Lawrence Buckingham:
VQTree: Vector quantization for decision tree induction

================ SHORT PAPERS ==================

A. K. H. Tung, Jean Hou, Jiawei Han:
COE: Clustering with Obstacles Entities A Preliminary Study

Shuigeng Zhou, Aoying Zhou, Jing Cao, Jin Wen, Ye Fan:
Combining Sampling Technique with DBSCAN Algorithm for Clustering Large Spatial Databases

T. Ishikawa, M. Numao, T. Terano:
Discovering Protein Functional Models Using Inductive Logic Programming

Kazumi Saito, Ryohei nakano:
Discovery of Relevant Weights by minimizing Cros-validation Error

Luis Torgo:
Efficient and Comprehensible Local Regression

Einoshin Suzuki, Shusaku Tsumoto:
Evaluating Hypothesis-Driven Exception-Rule Discovery with Medical Data Sets

C. Y. Shirata, T. Terano:
Extracting Predictors of Corporate Bankruptcy, Empirical Study on Data Mining Methods

Hirotaka Inoue and H. Narihisa:
Improving Generalization Ability of Self-Generating Neural Networks through Ensemble Averaging

Andrzej Skowron, Jaroslaw Stepaniuk, Shusaku Tsumoto:
Information Granules for Spatial Reasoning

Trong Dung NGUYEN, Tu Bao HO, Hiroshi SHIMODAIRA:
Interactive Visualization in Mining Large Decision Trees

Ching-Huang Yun, Ming-Syan Chen:
Mining Web Transaction Patterns: Capturing Consumer Traveling and Purchasing Behaviors in an Electronic Commerse Environment

K.C. Lee, J. S. Park, Y. S. Kim, Y. T. Byun:
Missing Value Estimation Based on Dynamic Attribute Selection

Y. Y. Yao, Ning Zhong:
On Association, Similarity and Dependency of Attributes

Ah-Hwee Tan, Hui-Shin Vivien Soon:
Predictive Adaptive Resonance Theory and Knowledge Discovery in Databases

G. Raetsch, B. Scholkopf, A. J. Smola, S. Mika, T. Onoda, K.-R. Muller:
Robust Ensemble Learning for Data Analysis

W. T. Chuang, Jihoon Yang:
Text Summarization by Sentence Segment Extraction Using Machine Learning Algorithms