Skip to main content
  • Conference proceedings
  • © 1999

Methodologies for Knowledge Discovery and Data Mining

Third Pacific-Asia Conference, PAKDD'99, Beijing, China, April 26-28, 1999, Proceedings

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1574)

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

Conference series link(s): PAKDD: Pacific-Asia Conference on Knowledge Discovery and Data Mining

Conference proceedings info: PAKDD 1999.

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

This is a preview of subscription content, log in via an institution to check for access.

Table of contents (72 papers)

  1. Front Matter

    Pages I-XV
  2. Emerging KDD Technology

    1. Data Mining — a Rough Set Perspective

      • ZdzisÅ‚aw Pawlak
      Pages 3-12
    2. Rule Extraction from Prediction Models

      • Hiroshi Tsukimoto
      Pages 34-44
  3. Association Rules

    1. Mining Association Rules on Related Numeric Attributes

      • Xiaoyong Du, Zhibin Liu, Naohiro Ishii
      Pages 44-53
    2. LGen — A Lattice-Based Candidate Set Generation Algorithm for I/O Efficient Association Rule Mining

      • Yip Chi Lap, K. K. Loo, Ben Kao, David Cheung, C. K. Cheng
      Pages 54-64
    3. Extending the Applicability of Association Rules

      • Karthick Rajamani, Sam Sung, Alan Cox
      Pages 64-74
    4. An Efficient Approach for Incremental Association Rule Mining

      • Pauray S. M. Tsai, Chih-Chong Lee, Arbee L. P. Chen
      Pages 74-83
    5. Association Rules in Incomplete Databases

      • Marzena Kryszkiewicz
      Pages 84-93
    6. H-Rule Mining in Heterogeneous Databases

      • Yuping Yang, Mukesh Singhal
      Pages 99-103
    7. An Improved Definition of Multidimensional Inter-transaction Association Rule

      • Aoying Zhou, Shuigeng Zhou, Jin Wen, Zengping Tian
      Pages 104-108
    8. Incremental Discovering Association Rules: A Concept Lattice Approach

      • Keyun Hu, Yuchang Lu, Chunyi Shi
      Pages 109-113

Other Volumes

  1. Methodologies for Knowledge Discovery and Data Mining

Editors and Affiliations

  • Department of Computer Science and Systems Engineering, Yamaguchi University, Ube, Japan

    Ning Zhong

  • Department of Computer Science and Technology, Tsinghua University, Beijing, China

    Lizhu Zhou

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access