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

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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Main Authors: Simovici, Dan A. (Author, http://id.loc.gov/vocabulary/relators/aut), Djeraba, Chabane. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: London : Springer London : Imprint: Springer, 2014.
Edition:2nd ed. 2014.
Series:Advanced Information and Knowledge Processing,
Subjects:
Data mining.
Computer science—Mathematics.
Computer mathematics.
Data Mining and Knowledge Discovery.
Mathematics of Computing.
Discrete Mathematics in Computer Science.
Computational Mathematics and Numerical Analysis.
Online Access:https://doi.org/10.1007/978-1-4471-6407-4

Internet

https://doi.org/10.1007/978-1-4471-6407-4

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