2. PAKDD 1998:
Melbourne, Australia
Xindong Wu, Kotagiri Ramamohanarao, Kevin B. Korb (Eds.):
Research and Development in Knowledge Discovery and Data Mining, Second Pacific-Asia Conference, PAKDD-98, Melbourne, Australia, April 15-17, 1998, Proceedings.
Lecture Notes in Computer Science 1394 Springer 1998, ISBN 3-540-64383-4
Papers
- David W. Albrecht, Ann E. Nicholson, Ingrid Zukerman:
Knowledge Acquisition for Goal Prediction in a Multi-user Adventure Game.
1-12

- Sarabjot S. Anand, John G. Hughes:
Hybrid Data Mining Systems: The Next Generation.
13-24

- Sarabjot S. Anand, David W. Patterson, John G. Hughes, David A. Bell:
Discovering Case Knowledge Using Data Mining.
25-35

- Oliver Büchter, Rüdiger Wirth:
Discovery of Association Rules over Ordinal Data: A New and Faster Algorithm and Its Application to Basket Analysis.
36-47

- David Wai-Lok Cheung, Yongqiao Xiao:
Effect of Data Skewness in Parallel Mining of Association Rules.
48-60

- Honghua Dai:
Trend Directed Learning: A Case Study.
61-71

- Guozhu Dong, Jinyan Li:
Interestingness of Discovered Association Rules in Terms of Neighborhood-Based Unexpectedness.
72-86

- David L. Dowe, Rohan A. Baxter, Jonathan J. Oliver, Chris S. Wallace:
Point Estimation Using the Kullback-Leibler Loss Function and MML.
87-95

- Russell T. Edwards, David L. Dowe:
Single Factor Analysis in MML Mixture Modelling.
96-109

- Vladimir Estivill-Castro, Alan T. Murray:
Discovering Associations in Spatial Data - An Efficient Medoid Based Approach.
110-121

- Yakov Frayman, Lipo Wang:
Data Mining Using Dynamically Constructed Recurrent Fuzzy Neural Networks.
122-131

- Brett Gray, Maria E. Orlowska:
CCAIIA: Clustering Categorial Attributed into Interseting Accociation Rules.
132-143

- Jiawei Han, Nebojsa Stefanovic, Krzysztof Koperski:
Selective Materialization: An Efficient Method for Spatial Data Cube Construction.
144-158

- Robert J. Hilderman, Colin L. Carter, Howard J. Hamilton, Nick Cercone:
Mining Market Basket Data Using Share Measures and Characterized Itemsets.
159-170

- Yuichi Iizuka, Hisako Shiohara, Tetsuya Iizuka, Seiji Isobe:
Automatic Visualization Method for Visual Data Mining.
173-185

- W. Kowalczyk, Zdzislaw Piasta:
Rough-Set Inspired Approach to Knowledge Discovery in Business Databases.
186-197

- Marzena Kryszkiewicz:
Representative Association Rules.
198-209

- Huan Liu, Hongjun Lu, Jun Yao:
Identifying Relevant Databases for Multidatabase Mining.
210-221

- Jonathan J. Oliver, Rohan A. Baxter, Chris S. Wallace:
Minimum Message Length Segmentation.
222-233

- Gerhard Paass, Jörg Kindermann:
Bayesian Classification Trees with Overlapping Leaves Applied to Credit-Scoring.
234-245

- Patrick Perrin, Frederick E. Petry:
Contextual Text Representation for Unsupervised Discovery in Texts.
246-257

- Arnaud Ragel, Bruno Crémilleux:
Treatment of Missing Values for Association Rules.
258-270

- Buh-Yun Sher, Shin-Chung Shao, Wen-Shyong Hsieh:
Mining Regression Rules and Regression Trees.
271-282

- Takahiko Shintani, Masaru Kitsuregawa:
Mining Algorithms for Sequential Patterns in Parallel: Hash Based Approach.
283-294

- Zbigniew R. Struzik, Arno Siebes:
Wavelet Transform in Similarity Paradigm.
295-309

- Mehmet R. Tolun, Hayri Sever, Mahmut Uludag:
Improved Rule Discovery Performance on Uncertainty.
310-321

- Olivier Y. de Vel, Danny Coomans, S. Patrick:
Feature Mining and Mapping of Collinear Data.
322-335

- John Zeleznikow, Andrew Stranieri:
Knowledge Discovery in Discretionary Legal Domains.
336-347

- Zijian Zheng:
Scaling Up the Rule Generation of C4.5.
348-359

- Ning Zhong, Juzhen Dong, Setsuo Ohsuga:
Data Mining Based on the Generalization Distribution Table and Rough Sets.
360-373

Posters
- Chia-Hui Chang, Ching-Chi Hsu:
Constructing Personalized Information Agents.
374-375

- Vincent Cho, Beat Wüthrich:
Towards Real Time Discovery from Distributed Information Sources.
376-377

- Richard J. Cole II, Peter W. Eklund, Don Walker:
Constructing Conceptual Scales in Formal Analysis.
378-379

- David L. Dowe, Lloyd Allison, Glen Pringle:
The Hunter and the Hunted - Modelling the Relationship Between Web Pages and Search Engines.
380-382

- K. M. Ho, Paul D. Scott:
An Efficient Global Discretization Method.
383-384

- François Jacquenet, Patrice Brenot:
Learning User Preferences on the WEB.
385-387

- Ilona Jagielska:
Using Rough Sets for Knowledge Discovery in the Development of a Decision Support System for Issuing Smog Alerts.
388-389

- Takamasa Koshizen, Hiroaki Ogawa, John Fulcher:
Empirical Results on Data Dimensionality Reduction Using the Divided Self-Organizing Map.
390-391

- Deyi Li, Kaichang Di, Deren Li, Xuemei Shi:
Mining Association Rules with Linguistic Cloud Models.
392-393

- Ye Liu, Hanxiong Chen, Jeffrey Xu Yu, Nobuo Ohbo:
A Data Mining Approach for Query Refinement.
394-396

- Ying Lu, Huan Liu, Chew Lim Tan:
CFMD: A Conflict-Free Multivariate Discretization Algorithm.
397-398

- Akira Maeda, Hideyuki Maki, Hiroyuji Akimori:
Characteristic Rule Induction Algorithm for Data Mining.
399-400

- Michael K. Ng, Zhexue Huang, Markus Hegland:
Data-Mining Massive Time Series Astronomical Data Sets - A Case Study.
401-402

- Chris Nowak:
Multiple Databases, Partial Reasoning, and Knowledge Discovery.
403-404

- Carlos Montes de Oca, Doris L. Carver:
Design Recovery with Data Mining Techniques.
405-406

- Adrian R. Pearce, Terry Caelli:
The CLARET Algorithm.
407-408

- Christine L. Tsien, Hamish S. F. Fraser, Isaac S. Kohane:
LRTree: A Hybrid technique for Classifying Myocardial Infarction Data Containing Unknown Attribute Values.
409-411

- Geert Wets, Jan Vanthienen, Harry J. P. Timmermans:
Modelling Decision Tables from Data.
412-413

- Michalis Vazirgiannis:
A Classification and Relationship Extraction Scheme for Raltional Databases Based on Fuzzy Logic.
414-416

- Takashi Washio, Hiroshi Motoda:
Mining Association Rules for Estimation and Prediction.
417-419

- Hanhong Xue, Qingsheng Cai:
Rule Generalization by Condition Combination.
420-421

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