Advances in Knowledge Discovery and Data Mining

8th Pacific-Asia Conference, PAKDD 2004, Sydney, Australia, May 26-28, 2004. Proceedings

Editors:

ISBN: 978-3-540-22064-0 (Print) 978-3-540-24775-3 (Online)

Table of contents (83 chapters)

previous Page of 5
  1. Front Matter

    Pages -

  2. Invited Speeches

    1. No Access

      Book Chapter

      Pages 1-1

      Mining of Evolving Data Streams with Privacy Preservation

    2. No Access

      Book Chapter

      Pages 2-2

      Data Mining Grand Challenges

  3. Session 1A: Classification (I)

    1. No Access

      Book Chapter

      Pages 3-12

      Evaluating the Replicability of Significance Tests for Comparing Learning Algorithms

    2. No Access

      Book Chapter

      Pages 13-21

      Spectral Energy Minimization for Semi-supervised Learning

    3. No Access

      Book Chapter

      Pages 22-30

      Discriminative Methods for Multi-labeled Classification

  4. Session 1B: Clustering (I)

    1. No Access

      Book Chapter

      Pages 31-40

      Subspace Clustering of High Dimensional Spatial Data with Noises

    2. No Access

      Book Chapter

      Pages 41-51

      Constraint-Based Graph Clustering through Node Sequencing and Partitioning

    3. No Access

      Book Chapter

      Pages 52-62

      Mining Expressive Process Models by Clustering Workflow Traces

  5. Session 1C: Association Rules (I)

    1. No Access

      Book Chapter

      Pages 63-73

      CMTreeMiner: Mining Both Closed and Maximal Frequent Subtrees

    2. No Access

      Book Chapter

      Pages 74-85

      Secure Association Rule Sharing

    3. No Access

      Book Chapter

      Pages 86-95

      Self-Similar Mining of Time Association Rules

  6. Session 2A: Novel Algorithms (I)

    1. No Access

      Book Chapter

      Pages 96-105

      ParaDualMiner: An Efficient Parallel Implementation of the DualMiner Algorithm

    2. No Access

      Book Chapter

      Pages 106-115

      A Novel Distributed Collaborative Filtering Algorithm and Its Implementation on P2P Overlay Network

    3. No Access

      Book Chapter

      Pages 116-120

      An Efficient Algorithm for Dense Regions Discovery from Large-Scale Data Streams

    4. No Access

      Book Chapter

      Pages 121-126

      Blind Data Linkage Using n-gram Similarity Comparisons

    5. No Access

      Book Chapter

      Pages 127-132

      Condensed Representation of Emerging Patterns

  7. Session 2B: Association (II)

    1. No Access

      Book Chapter

      Pages 133-144

      Discovery of Maximally Frequent Tag Tree Patterns with Contractible Variables from Semistructured Documents

    2. No Access

      Book Chapter

      Pages 145-154

      Mining Term Association Rules for Heuristic Query Construction

    3. No Access

      Book Chapter

      Pages 155-160

      FP-Bonsai: The Art of Growing and Pruning Small FP-Trees

    4. No Access

      Book Chapter

      Pages 161-165

      Mining Negative Rules Using GRD

previous Page of 5