Advances in Knowledge Discovery and Data Mining

1. Front Matter

   Pages I-XVIII

   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

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.

• Algorithmic Learning
• Bayesian network
• Classification
• DRM
• Data Mining
• Database Mining
• Information Retrieval
• Sequential Learning
• Text Summarization
• Web Mining
• calculus
• database
• evolutionary algorithm
• performance
• semantics

• 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

Policies and ethics