Advances in Knowledge Discovery and Data Mining: 8th Pacific-Asia Conference, PAKDD 2004, Sydney, Australia, May 26-28, 2004. ProceedingsAuthor: Honghua Dai, Ramakrishnan Srikant, Chengqi Zhang Published by Springer Berlin Heidelberg ISBN: 978-3-540-22064-0 DOI: 10.1007/b97861Table 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