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Advances in Knowledge Discovery and Data Mining

5th Pacific-Asia Conference, PAKDD 2001 Hong Kong, China, April 16-18, 2001. Proceedings

  • Conference proceedings
  • © 2001

Overview

Editors:
  1. David Cheung

    1. Dept. of Computer Science and Information Systems, The University of Hong Kong, Pokfulam, Hong Kong China

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  2. Graham J. Williams

    1. CSIRO Mathematical and Information Sciences, Canberra, Australia

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  3. Qing Li

    1. Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2035)

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

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Table of contents (63 papers)

  1. Front Matter

    Pages I-XVIII
    Download chapter PDF

  2. Keynote Presentations

    1. Incompleteness in Data Mining

      • Hosagrahar Visvesvaraya Jagadish⋆
      Pages 1-1

    2. Mining E-Commerce Data: The Good, the Bad, and the Ugly

      • Ronny Kohavi
      Pages 2-2

    3. Seamless Integration of Data Mining with DBMS and Applications

      • Hongjun Lu
      Pages 3-3

  3. Web Mining

    1. Applying Pattern Mining to Web Information Extraction

      • Chia-Hui Chang, Shao-Chen Lui, Yen-Chin Wu
      Pages 4-15

    2. Empirical Study of Recommender Systems Using Linear Classifiers

      • Vijay S. Iyengar, Tong Zhang
      Pages 16-27

    3. iJADE eMiner - A Web-Based Mining Agent Based on Intelligent Java Agent Development Environment (iJADE) on Internet Shopping

      • Raymond S. T. Lee, James N. K. Liu
      Pages 28-40

    4. A Characterized Rating Recommend System

      • Yao-Tsung Lin, Shian-Shyong Tseng
      Pages 41-46

    5. Discovery of Frequent Tree Structured Patterns in Semistructured Web Documents

      • Tetsuhiro Miyahara, Takayoshi Shoudai, Tomoyuki Uchida, Kenichi Takahashi, Hiroaki Ueda
      Pages 47-52

  4. Text Mining

    1. Text Categorization Using Weight Adjusted k-Nearest Neighbor Classification

      • Eui-Hong (Sam) Han, George Karypis, Vipin Kumar
      Pages 53-65

    2. Predictive Self-Organizing Networks for Text Categorization

      • Ah-Hwee Tan
      Pages 66-77

    3. Meta-learning Models for Automatic Textual Document Categorization

      • Kwok-Yin Lai⋆, Wai Lam
      Pages 78-89

    4. Efficient Algorithms for Concept Space Construction

      • Chi Yuen Ng, Joseph Lee, Felix Cheung, Ben Kao, David Cheung
      Pages 90-101

    5. Topic Detection, Tracking, and Trend Analysis Using Self-Organizing Neural Networks

      • Kanagasabi Rajaraman, Ah-Hwee Tan
      Pages 102-107

    6. Automatic Hypertext Construction through a Text Mining Approach by Self-Organizing Maps

      • Hsin-Chang Yang, Chung-Hong Lee
      Pages 108-113

  5. Applications and Tools

    1. Semantic Expectation-Based Causation Knowledge Extraction: A Study on Hong Kong Stock Movement Analysis

      • Boon-Toh Low, Ki Chan, Lei-Lei Choi, Man-Yee Chin, Sin-Ling Lay
      Pages 114-123

    2. A Toolbox Approach to Flexible and Efficient Data Mining

      • Ole M. Nielsen⋆, Peter Christen, Markus Hegland, Tatiana Semenova, Timothy Hancock
      Pages 124-135

    3. Determining Progression in Glaucoma Using Visual Fields

      • Andrew Turpin, Eibe Frank, Mark Hall, Ian H. Witten, Chris A. Johnson
      Pages 136-147

    4. Seabreeze Prediction Using Bayesian Networks

      • Russell J. Kennett, Kevin B. Korb, Ann E. Nicholson
      Pages 148-153

    5. Semi-supervised Learning in Medical Image Database

      • Chun Hung Li, Pong Chi Yuen
      Pages 154-160
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Keywords

About this book

This book constitutes the refereed proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2001, held in Hong Kong, China in April 2001.
The 38 revised full papers and 22 short papers presented were carefully reviewed and selected from a total of 152 submissions. The book offers topical sections on Web mining, text mining, applications and tools, concept hierarchies, feature selection, interestingness, sequence mining, spatial and temporal mining, association mining, classification and rule induction, clustering, and advanced topics and new methods.

Editors and Affiliations

  • Dept. of Computer Science and Information Systems, The University of Hong Kong, Pokfulam, Hong Kong China

    David Cheung

  • CSIRO Mathematical and Information Sciences, Canberra, Australia

    Graham J. Williams

  • Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong China

    Qing Li

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