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Mathematical Tools for Data Mining

Overview of attention for book
Mathematical Tools for Data Mining
Springer London

Table of Contents

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    Book Overview
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    Chapter 1 Sets, Relations, and Functions
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    Chapter 2 Algebras
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    Chapter 3 Graphs and Hypergraphs
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    Chapter 4 Partially Ordered Sets
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    Chapter 5 Lattices and Boolean Algebras
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    Chapter 6 Topologies and Measures
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    Chapter 7 Frequent Item Sets and Association Rules
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    Chapter 8 Applications to Databases and Data Mining
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    Chapter 9 Rough Sets
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    Chapter 10 Dissimilarities, Metrics, and Ultrametrics
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    Chapter 11 Topologies and Measures on Metric Spaces
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    Chapter 12 Dimensions of Metric Spaces
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    Chapter 13 Clustering
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    Chapter 14 Combinatorics
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    Chapter 15 The Vapnik-Chervonenkis Dimension
Attention for Chapter 6: Topologies and Measures
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Summary
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Chapter title
Topologies and Measures
Chapter number 6
Book title
Mathematical Tools for Data Mining
Published by
Springer, London, January 2008
DOI 10.1007/978-1-84800-201-2_6
Book ISBNs
978-1-84800-200-5, 978-1-84800-201-2
Authors

Dan A. Simovici, Chabane Djeraba, Simovici, Dan A., Djeraba, Chabane

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