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Advances in knowledge discovery and data mining : 8th Pacific-Asia conference, PAKDD 2004, Sydney, Australia, May 26-28, 2004 : proceedings

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Advances in knowledge discovery and data mining : 8th Pacific Asia conference, PAKDD 2004, Sydney, Australia,

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Author: Pacific-Asia Conference on Knowledge Discovery and Data Mining (8th : 2004 : Sydney, N.S.W.), Dai, Honghua, Srikant, Ramakrishnan, Zhang, Chengqi, 1957-

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Added Date: 2015-12-29

Language: eng

Subjects: Database management, Database searching, Data mining

Publishers: Berlin ; New York : Springer

Collections: journals contributions, journals

ISBN Number: 354022064X

Pages Count: 300

PPI Count: 300

PDF Count: 1

Total Size: 327.56 MB

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Advances in Knowledge Discovery and Data Mining: 8th Pacific-Asia Conference, PAKDD 2004, Sydney, Australia, May 26-28, 2004. Proceedings
Author: Honghua Dai, Ramakrishnan Srikant, Chengqi Zhang
Published by Springer Berlin Heidelberg
ISBN: 978-3-540-22064-0
DOI: 10.1007/b97861

Table of Contents:

  • Mining of Evolving Data Streams with Privacy Preservation
  • Data Mining Grand Challenges
  • Evaluating the Replicability of Significance Tests for Comparing Learning Algorithms
  • Spectral Energy Minimization for Semi-supervised Learning
  • Discriminative Methods for Multi-labeled Classification
  • Subspace Clustering of High Dimensional Spatial Data with Noises
  • Constraint-Based Graph Clustering through Node Sequencing and Partitioning
  • Mining Expressive Process Models by Clustering Workflow Traces
  • CMTreeMiner: Mining Both Closed and Maximal Frequent Subtrees
  • Secure Association Rule Sharing
  • Self-Similar Mining of Time Association Rules
  • ParaDualMiner: An Efficient Parallel Implementation of the DualMiner Algorithm
  • A Novel Distributed Collaborative Filtering Algorithm and Its Implementation on P2P Overlay Network
  • An Efficient Algorithm for Dense Regions Discovery from Large-Scale Data Streams
  • Blind Data Linkage Using n-gram Similarity Comparisons
  • Condensed Representation of Emerging Patterns
  • Discovery of Maximally Frequent Tag Tree Patterns with Contractible Variables from Semistructured Documents
  • Mining Term Association Rules for Heuristic Query Construction
  • FP-Bonsai: The Art of Growing and Pruning Small FP-Trees
  • Mining Negative Rules Using GRD

Includes bibliographical references and index

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