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Advances in Knowledge Discovery and Management

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Cover of 'Advances in Knowledge Discovery and Management'

Table of Contents

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    Book Overview
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    Chapter 1 Discrepancy Analysis of Complex Objects Using Dissimilarities
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    Chapter 2 A Bayes Evaluation Criterion for Decision Trees
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    Chapter 3 Classifying Very-High-Dimensional Data with Random Forests of Oblique Decision Trees
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    Chapter 4 Intensive Use of Correspondence Analysis for Large Scale Content-Based Image Retrieval
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    Chapter 5 Toward a Better Integration of Spatial Relations in Learning with Graphical Models
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    Chapter 6 Multigranular Manipulations for OLAP Querying
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    Chapter 7 A New Approach for Unsupervised Classification in Image Segmentation
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    Chapter 8 Cluster-Dependent Feature Selection through a Weighted Learning Paradigm
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    Chapter 9 Two Variants of the OKM for Overlapping Clustering
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    Chapter 10 A Stable Decomposition Algorithm for Dynamic Social Network Analysis
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    Chapter 11 An Hybrid Data Stream Summarizing Approach by Sampling and Clustering
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    Chapter 12 SPAMS: A Novel Incremental Approach for Sequential Pattern Mining in Data Streams
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    Chapter 13 Mining Common Outliers for Intrusion Detection
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    Chapter 14 Intrusion Detections in Collaborative Organizations by Preserving Privacy
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    Chapter 15 Alignment-Based Partitioning of Large-Scale Ontologies
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    Chapter 16 Learning Ontologies with Deep Class Hierarchies by Mining the Content of Relational Databases
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    Chapter 17 Semantic Analysis for the Geospatial Semantic Web
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    Chapter 18 Statistically Valid Links and Anti-links BetweenWords and Between Documents: Applying TourneBool Randomization Test to a Reuters Collection
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