Knowledge discovery and data mining : current pdf

Knowledge discovery and data mining : current

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Description of the Book:

Author: Takao Terano, Huan Liu, Arbee L. P. Chen
Published by Springer Berlin Heidelberg
ISBN: 978-3-540-67382-8
DOI: 10.1007/3-540-45571-X

Table of Contents:

Perspective on Data Mining from Statistical ViewpointsnInductive Databases and Knowledge ScoutsnHyperlink-Aware Mining and Analysis of the WebnPolynomial Time Matching Algorithms for Tree-Like Structured Patterns in Knowledge DiscoverynFast Discovery of Interesting RulesnPerformance Controlled Data Reduction for Knowledge Discovery in Distributed DatabasesnMinimum Message Length Criterion for Second-Order Polynomial Model DiscoverynFrequent Itemset Counting Across Multiple TablesnFrequent Closures as a Concise Representation for Binary Data MiningnAn Optimization Problem in Data Cube System DesignnException Rule Mining with a Relative Interestingness MeasurenConsistency Based Feature SelectionnFeature Selection for ClusteringnA Simple Dimensionality Reduction Technique for Fast Similarity Search in Large Time Series DatabasesnMissing Value Estimation Based on Dynamic Attribute SelectionnOn Association, Similarity and Dependency of AttributesnPrototype Generation Based on Instance Filtering and AveragingnA Visual Method of Cluster Validation with FastmapnCOE: Clustering with Obstacles Entities A Preliminary StudynCombining Sampling Technique with DBSCAN Algorithm for Clustering Large Spatial Databases’, ‘Includes bibliographical references and index

• Creator/s: Pacific-Asia Conference on Knowledge Discovery and Data Mining (4th : 2000 : Kyoto, Japan), Terano, Takao, 1952-, Liu, Huan, 1958-, Chen, Arbee L. P
• Date: 2000
• Book Topics/Themes: Database management, Database searching, Data mining

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