4. PAKDD 2000: Kyoto, Japan

Keynote Speeches and Invited Talk

• Yoshiharu Sato:
  Perspective on Data Mining from Statistical Viewpoints. 1
  
• Ryszard S. Michalski:
  Inductive Databases and Knowledge Scouts. 2-3
  
• Andrew Tomkins:
  Hyperlink-Aware Mining and Analysis of the Web. 4
  

Data Mining Theory

• Tetsuhiro Miyahara, Takayoshi Shoudai, Tomoyuki Uchida, Kenichi Takahashi, Hiroaki Ueda:
  Polynomial Time Matching Algorithms for Tree-Like Structured Patterns in Knowledge Discovery. 5-16
  
• Nobuhiro Yugami, Yuiko Ohta, Seishi Okamoto:
  Fast Discovery of Interesting Rules. 17-28
  
• Slobodan Vucetic, Zoran Obradovic:
  Performance Controlled Data Reduction for Knowledge Discovery in Distributed Databases. 29-39
  
• Grace W. Rumantir:
  Minimum Message Length Criterion for Second-Order Polynomial Model Disovery. 40-48
  
• Viviane Crestana-Jensen, Nandit Soparkar:
  Frequent Itemset Counting Across Multiple Tables. 49-61
  
• Jean-François Boulicaut, Artur Bykowski:
  Frequent Closures as a Concise Representation for Binary Data Mining. 62-73
  
• Edward Hung, David Wai-Lok Cheung, Ben Kao, Yilong Liang:
  An Optimization Problem in Data Cube System Design. 74-85
  
• Farhad Hussain, Huan Liu, Einoshin Suzuki, Hongjun Lu:
  Exception Rule Mining with a Relative Interestingness Measure. 86-97
  

Feature Selection and Transformation

• Manoranjan Dash, Huan Liu, Hiroshi Motoda:
  Consistency Based Feature Selection. 98-109
  
• Manoranjan Dash, Huan Liu:
  Feature Selection for Clustering. 110-121
  
• Eamonn J. Keogh, Michael J. Pazzani:
  A Simple Dimensionality Reduction Technique for Fast Similarity Search in Large Time Series Databases. 122-133
  
• K. C. Lee, J. S. Park, Y. S. Kim, Yung-Tai Byun:
  Missing Value Estimation Based on Dynamic Attribute Selection. 134-137
  
• Yiyu Yao, Ning Zhong:
  On Association, Similarity and Dependency of Attributes. 138-141
  

Clustering

• Chi-Kin Keung, Wai Lam:
  Prototype Generation Based on Instance Filtering and Averaging. 142-152
  
• Zhexue Huang, Tao Lin:
  A Visual Method of Cluster Validation with Fastmap. 153-164
  
• Anthony K. H. Tung, Jean Hou, Jiawei Han:
  COE: Clustering with Obstacles Entities. A Preliminary Study. 165-168
  
• Shuigeng Zhou, Aoying Zhou, Jing Cao, Wen Jin, Ye Fan, Yunfa Hu:
  Combining Sampling Technique with DBSCAN Algorithm for Clustering Large Spatial Databases. 169-172
  
• Ah-Hwee Tan, Hui-Shin Vivien Soon:
  Predictive Adaptive Resonance Theory and Knowledge Discovery in Databases. 173-176
  
• Hirotaka Inoue, Hiroyuki Narihisa:
  Improving Generalization Ability of Self-Generating Neural Networks Through Ensemble Averaging. 177-180
  

Application of Data Mining

• Tsau Young Lin, Joseph Tremba:
  Attribute Transformations on Numerical Databases. Applications to Stock Market and Economic Data. 181-192
  
• Takashi Okada:
  Efficient Detection of Local Interactions in the Cascade Model. 193-203
  
• Cindy Yoshiko Shirata, Takao Terano:
  Extracting Predictors of Corporate Bankruptcy: Empirical Study on Data Mining Methods. 204-207
  
• Einoshin Suzuki, Shusaku Tsumoto:
  Evaluating Hypothesis-Driven Exception-Rule Discovery with Medical Data Sets. 208-211
  
• Takashi Ishikawa, Masayuki Numao, Takao Terano:
  Discovering Protein Functional Models Using Inductive Logic Programming. 212-215
  
• Ching-Huang Yun, Ming-Syan Chen:
  Mining Web Transaction Patterns in an Electronic Commerce Environment. 216-219
  

Association Rules and Related Topics

• Jinyan Li, Guozhu Dong, Kotagiri Ramamohanarao:
  Making Use of the Most Expressive Jumping Emerging Patterns for Classification. 220-232
  
• Hirofumi Matsuzawa, Takeshi Fukuda:
  Mining Structured Association Patterns from Databases. 233-244
  
• Tao Zhang:
  Association Rules. 245-256
  
• David Wai-Lok Cheung, Lian Wang, Siu-Ming Yiu, Bo Zhou:
  Density-Based Mining of Quantitative Association Rules. 257-268
  
• Jianchao Han, Nick Cercone:
  AViz: A Visualization System for Discovering Numeric Association Rules. 269-280
  
• Ryoichi Fujino, Hiroki Arimura, Setsuo Arikawa:
  Discovering Unordered and Ordered Phrase Association Patterns for Text Mining. 281-293
  
• K. Selçuk Candan, Wen-Syan Li:
  Using Random Walks for Mining Web Document Associations. 294-305
  

Induction

• Maybin K. Muyeba, John A. Keane:
  A Concurrent Approach to the Key-Preserving Attribute-Oriented Induction Method. 306-316
  
• Carlos Domingo, Osamu Watanabe:
  Scaling Up a Boosting-Based Learner via Adaptive Sampling. 317-328
  
• Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic:
  Adaptive Boosting for Spatial Functions with Unstable Driving Attributes. 329-340
  
• Gunnar Rätsch, Bernhard Schölkopf, Alex J. Smola, Sebastian Mika, Takashi Onoda, Klaus-Robert Müller:
  Robust Ensemble Learning for Data Mining. 341-344
  
• Trong Dung Nguyen, Tu Bao Ho, Hiroshi Shimodaira:
  Interactive Visualization in Mining Large Decision Trees. 345-348
  
• Shlomo Geva, Lawrence Buckingham:
  VQTree: Vector Quantization for Decision Tree Induction. 349-359
  
• Fosca Giannotti, Giuseppe Manco:
  Making Knowledge Extraction and Reasoning Closer. 360-371
  
• Kazumi Saito, Ryohei Nakano:
  Discovery of Relevant Weights by Minimizing Cross-Validation Error. 372-375
  
• Luís Torgo:
  Efficient and Comprehensible Local Regression. 376-379
  
• Andrzej Skowron, Jaroslaw Stepaniuk, Shusaku Tsumoto:
  Information Granules for Spatial Reasoning. 380-383
  

Text, Web, and Graph Mining

• Dieter Merkl, Andreas Rauber:
  Uncovering the Hierarchical Structure of Text Archives by Using an Unsupervised Neural Network with Adaptive Architecture. 384-395
  
• Jian Pei, Jiawei Han, Behzad Mortazavi-Asl, Hua Zhu:
  Mining Access Patterns Efficiently from Web Logs. 396-407
  
• Yanlei Diao, Hongjun Lu, Dekai Wu:
  A Comparative Study of Classification Based Personal E-mail Filtering. 408-419
  
• Takashi Matsuda, Tadashi Horiuchi, Hiroshi Motoda, Takashi Washio:
  Extension of Graph-Based Induction for General Graph Structured Data. 420-431
  
• Chi-Yuen Ng, Ben Kao, David Wai-Lok Cheung:
  Text-Source Discovery and GlOSS Update in a Dynamic Web. 432-441
  
• Seiji Hotta, Kohei Inoue, Kiichi Urahama:
  Extraction of Fuzzy Clusters from Weighted Graphs. 442-453
  
• Wesley T. Chuang, Jihoon Yang:
  Text Summarization by Sentence Segment Extraction Using Machine Learning Algorithms. 454-457
  

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