4. PAKDD 2000: Kyoto, Japan

Takao Terano, Huan Liu, Arbee L. P. Chen (Eds.): Knowledge Discovery and Data Mining, Current Issues and New Applications, 4th Pacific-Asia Conference, PADKK 2000, Kyoto, Japan, April 18-20, 2000, Proceedings. Lecture Notes in Computer Science 1805 Springer 2000, ISBN 3-540-67382-2

@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

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