Mathematical Tools for Data Mining: Set Theory, Partial Orders, Combinatorics

Mathematical Tools for Data Mining: Set Theory, Partial Orders, Combinatorics

by Dan A. Simovici, Chabane Djeraba

Paperback(Softcover reprint of the original 2nd ed. 2014)

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Product Details

ISBN-13: 9781447171348
Publisher: Springer London
Publication date: 10/21/2016
Series: Advanced Information and Knowledge Processing
Edition description: Softcover reprint of the original 2nd ed. 2014
Pages: 831
Product dimensions: 6.10(w) x 9.25(h) x 0.07(d)

Table of Contents

Sets, Relations and Functions.- Partially Ordered Sets.- Combinatorics.- Topologies and Measures.- Linear Spaces.- Norms and Inner Products.- Spectral Properties of Matrices.- Metric Spaces Topologies and Measures.- Convex Sets and Convex Functions.- Graphs and Matrices.- Lattices and Boolean Algebras.- Applications to Databases and Data Mining.- Frequent Item Sets and Association Rules.- Special Metrics.- Dimensions of Metric Spaces.- Clustering.

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