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Mathematical Tools for Data Mining

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Cover of 'Mathematical Tools for Data Mining'

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 10: Dissimilarities, Metrics, and Ultrametrics
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