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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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Title
Advances in Knowledge Discovery and Management
Published by
Springer Berlin Heidelberg, September 2010
DOI 10.1007/978-3-642-00580-0
ISBNs
978-3-64-200579-4, 978-3-64-200580-0
Editors

Guillet, Fabrice, Ritschard, Gilbert, Zighed, Djamel Abdelkader, Briand, Henri

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 4%
Brazil 1 4%
Unknown 22 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 42%
Student > Master 4 17%
Other 2 8%
Student > Bachelor 2 8%
Researcher 2 8%
Other 2 8%
Unknown 2 8%
Readers by discipline Count As %
Computer Science 8 33%
Engineering 5 21%
Business, Management and Accounting 4 17%
Economics, Econometrics and Finance 1 4%
Agricultural and Biological Sciences 1 4%
Other 2 8%
Unknown 3 13%