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Research and Development in Knowledge Discovery and Data Mining

Second Pacific-Asia Conference, PAKDD'98, Melbourne, Australia, April 15-17, 1998, Proceedings

  • Conference proceedings
  • © 1998

Overview

Editors:
  1. Xindong Wu

    1. School of Computer Science and Software Engineering, Monash university, Caulfield East, Australia

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  2. Ramamohanarao Kotagiri

    1. Department of Computer Science, The University of Melbourne, Parkville, Australia

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  3. Kevin B. Korb

    1. School of Computer Science and Engineering, Monash university, Clayton, Australia

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1394)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: PAKDD 1998.

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Table of contents (51 papers)

  1. Front Matter

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  2. Knowledge acquisition for goal prediction in a multi-user adventure game

    • D. W. Albrecht, A. E. Nicholson, I. Zukerman
    Pages 1-12

  3. Hybrid data mining systems: The next generation

    • Sarabjot S. Anand, John G. Hughes
    Pages 13-24

  4. Discovering case knowledge using data mining

    • S. S. Anand, D. Patterson, J. G. Hughes, D. A. Bell
    Pages 25-35

  5. Discovery of association rules over ordinal data: A new and faster algorithm and its application to basket analysis

    • Oliver Büchter, Rüdiger Wirth
    Pages 36-47

  6. Effect of data skewness in parallel mining of association rules

    • David W. Cheung, Yongqiao Xiao
    Pages 48-60

  7. Trend directed learning: A case study

    • Honghua Dai
    Pages 61-71

  8. Interestingness of discovered association rules in terms of neighborhood-based unexpectedness

    • Guozhu Dong, Jinyan Li
    Pages 72-86

  9. Point estimation using the Kullback-Leibler loss function and MML

    • David L. Dowe, Rohan A. Baxter, Jonathan J. Oliver, Chris S. Wallace
    Pages 87-95

  10. Single factor analysis in MML mixture modelling

    • Russell T. Edwards, David L. Dowe
    Pages 96-109

  11. Discovering associations in spatial data — An efficient medoid based approach

    • Vladimir Estivill-Castrol, Alan T. Murray
    Pages 110-121

  12. Data mining using dynamically constructed recurrent fuzzy neural networks

    • Yakov Frayman, Lipo Wang
    Pages 122-131

  13. CCAIIA: Clustering categorical attributes into interesting association rules

    • Brett Gray, M. E. Orlowska
    Pages 132-143

  14. Selective materialization: An efficient method for spatial data cube construction

    • Jiawei Han, Nebojsa Stefanovic, Krzysztof Koperski
    Pages 144-158

  15. Mining market basket data using share measures and characterized itemsets

    • Robert J. Hilderman, Colin L. Carter, Howard J. Hamilton, Nick Cercone
    Pages 159-173

  16. Automatic visualization method for visual data mining

    • Yuichi Iizuka, Hisako Shiohara, Tetsuya Iizuka, Seiji Isobe
    Pages 174-185

  17. Rough-set inspired approach to knowledge discovery in business databases

    • W. Kowalczyk, Z. Piasta
    Pages 186-197

  18. Representative association rules

    • Marzena Kryszkiewicz
    Pages 198-209

  19. Identifying relevant databases for multidatabase mining

    • Huan Liu, Hongjun Lu, Jun Yao
    Pages 210-221

  20. Minimum message length segmentation

    • Jonathan J. Oliver, Rohan A. Baxter, Chris S. Wallace
    Pages 222-233
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  1. Research and Development in Knowledge Discovery and Data Mining

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About this book

This book constitutes the refereed proceedings of the Second Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD-98, held in Melbourne, Australia, in April 1998. The book presents 30 revised full papers selected from a total of 110 submissions; also included are 20 poster presentations. The papers contribute new results to all current aspects in knowledge discovery and data mining on the research level as well as on the level of systems development. Among the areas covered are machine learning, information systems, the Internet, statistics, knowledge acquisition, data visualization, software reengineering, and knowledge based systems.

Editors and Affiliations

  • School of Computer Science and Software Engineering, Monash university, Caulfield East, Australia

    Xindong Wu

  • Department of Computer Science, The University of Melbourne, Parkville, Australia

    Ramamohanarao Kotagiri

  • School of Computer Science and Engineering, Monash university, Clayton, Australia

    Kevin B. Korb

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