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 BibTeX
@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
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 BibTeX
- Nobuhiro Yugami, Yuiko Ohta, Seishi Okamoto:
Fast Discovery of Interesting Rules.
17-28 BibTeX
- Slobodan Vucetic, Zoran Obradovic:
Performance Controlled Data Reduction for Knowledge Discovery in Distributed Databases.
29-39 BibTeX
- Grace W. Rumantir:
Minimum Message Length Criterion for Second-Order Polynomial Model Disovery.
40-48 BibTeX
- Viviane Crestana-Jensen, Nandit Soparkar:
Frequent Itemset Counting Across Multiple Tables.
49-61 BibTeX
- Jean-François Boulicaut, Artur Bykowski:
Frequent Closures as a Concise Representation for Binary Data Mining.
62-73 BibTeX
- Edward Hung, David Wai-Lok Cheung, Ben Kao, Yilong Liang:
An Optimization Problem in Data Cube System Design.
74-85 BibTeX
- Farhad Hussain, Huan Liu, Einoshin Suzuki, Hongjun Lu:
Exception Rule Mining with a Relative Interestingness Measure.
86-97 BibTeX
Feature Selection and Transformation
Clustering
- Chi-Kin Keung, Wai Lam:
Prototype Generation Based on Instance Filtering and Averaging.
142-152 BibTeX
- Zhexue Huang, Tao Lin:
A Visual Method of Cluster Validation with Fastmap.
153-164 BibTeX
- Anthony K. H. Tung, Jean Hou, Jiawei Han:
COE: Clustering with Obstacles Entities. A Preliminary Study.
165-168 BibTeX
- 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 BibTeX
- Ah-Hwee Tan, Hui-Shin Vivien Soon:
Predictive Adaptive Resonance Theory and Knowledge Discovery in Databases.
173-176 BibTeX
- Hirotaka Inoue, Hiroyuki Narihisa:
Improving Generalization Ability of Self-Generating Neural Networks Through Ensemble Averaging.
177-180 BibTeX
Application of Data Mining
Association Rules and Related Topics
- Jinyan Li, Guozhu Dong, Kotagiri Ramamohanarao:
Making Use of the Most Expressive Jumping Emerging Patterns for Classification.
220-232 BibTeX
- Hirofumi Matsuzawa, Takeshi Fukuda:
Mining Structured Association Patterns from Databases.
233-244 BibTeX
- Tao Zhang:
Association Rules.
245-256 BibTeX
- David Wai-Lok Cheung, Lian Wang, Siu-Ming Yiu, Bo Zhou:
Density-Based Mining of Quantitative Association Rules.
257-268 BibTeX
- Jianchao Han, Nick Cercone:
AViz: A Visualization System for Discovering Numeric Association Rules.
269-280 BibTeX
- Ryoichi Fujino, Hiroki Arimura, Setsuo Arikawa:
Discovering Unordered and Ordered Phrase Association Patterns for Text Mining.
281-293 BibTeX
- K. Selçuk Candan, Wen-Syan Li:
Using Random Walks for Mining Web Document Associations.
294-305 BibTeX
Induction
- Maybin K. Muyeba, John A. Keane:
A Concurrent Approach to the Key-Preserving Attribute-Oriented Induction Method.
306-316 BibTeX
- Carlos Domingo, Osamu Watanabe:
Scaling Up a Boosting-Based Learner via Adaptive Sampling.
317-328 BibTeX
- Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic:
Adaptive Boosting for Spatial Functions with Unstable Driving Attributes.
329-340 BibTeX
- Gunnar Rätsch, Bernhard Schölkopf, Alex J. Smola, Sebastian Mika, Takashi Onoda, Klaus-Robert Müller:
Robust Ensemble Learning for Data Mining.
341-344 BibTeX
- Trong Dung Nguyen, Tu Bao Ho, Hiroshi Shimodaira:
Interactive Visualization in Mining Large Decision Trees.
345-348 BibTeX
- Shlomo Geva, Lawrence Buckingham:
VQTree: Vector Quantization for Decision Tree Induction.
349-359 BibTeX
- Fosca Giannotti, Giuseppe Manco:
Making Knowledge Extraction and Reasoning Closer.
360-371 BibTeX
- Kazumi Saito, Ryohei Nakano:
Discovery of Relevant Weights by Minimizing Cross-Validation Error.
372-375 BibTeX
- Luís Torgo:
Efficient and Comprehensible Local Regression.
376-379 BibTeX
- Andrzej Skowron, Jaroslaw Stepaniuk, Shusaku Tsumoto:
Information Granules for Spatial Reasoning.
380-383 BibTeX
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 BibTeX
- Jian Pei, Jiawei Han, Behzad Mortazavi-Asl, Hua Zhu:
Mining Access Patterns Efficiently from Web Logs.
396-407 BibTeX
- Yanlei Diao, Hongjun Lu, Dekai Wu:
A Comparative Study of Classification Based Personal E-mail Filtering.
408-419 BibTeX
- Takashi Matsuda, Tadashi Horiuchi, Hiroshi Motoda, Takashi Washio:
Extension of Graph-Based Induction for General Graph Structured Data.
420-431 BibTeX
- Chi-Yuen Ng, Ben Kao, David Wai-Lok Cheung:
Text-Source Discovery and GlOSS Update in a Dynamic Web.
432-441 BibTeX
- Seiji Hotta, Kohei Inoue, Kiichi Urahama:
Extraction of Fuzzy Clusters from Weighted Graphs.
442-453 BibTeX
- Wesley T. Chuang, Jihoon Yang:
Text Summarization by Sentence Segment Extraction Using Machine Learning Algorithms.
454-457 BibTeX
Copyright © Sat May 16 23:32:22 2009
by Michael Ley (ley@uni-trier.de)
