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Mathematical tools for data mining: set theory, partial orders, combinatorics

✍ Scribed by Dan A. Simovici, Chabane Djeraba (auth.)

Publisher
Springer London
Year
2008
Tongue
English
Leaves
610
Series
Advanced Information and Knowledge Processing
Category
Library
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✦ Subjects

Data Mining and Knowledge Discovery; Mathematics of Computing; Discrete Mathematics in Computer Science; Computational Mathematics and Numerical Analysis

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<p>Data mining essentially relies on several mathematical disciplines, many of which are presented in this second edition of this book. Topics include partially ordered sets, combinatorics, general topology, metric spaces, linear spaces, graph theory. To motivate the reader a significant number of a

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Data mining essentially relies on several mathematical disciplines, many of which are presented in this second edition of this book. Topics include partially ordered sets, combinatorics, general topology, metric spaces, linear spaces, graph theory. To motivate the reader a significant number of appl