4. PAKDD 2000: Kyoto, Japan

@proceedings{DBLP:conf/pakdd/2000,
  editor    = {Takao Terano and
               Huan Liu and
               Arbee L. P. Chen},
  title     = {Knowledge Discovery and Data Mining, Current Issues and New Applications,
               4th Pacific-Asia Conference, PADKK 2000, Kyoto, Japan, April
               18-20, 2000, Proceedings},
  booktitle = {PAKDD},
  publisher = {Springer},
  series    = {Lecture Notes in Computer Science},
  volume    = {1805},
  year      = {2000},
  isbn      = {3-540-67382-2},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

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