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.

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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Bibliographic Details
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)
Format: Electronic eBook
Language:English
Published: London : Springer London : Imprint: Springer, 2014.
Edition:2nd ed. 2014.
Series:Advanced Information and Knowledge Processing,
Springer eBook Collection.
Subjects:
Data mining.
Computer science—Mathematics.
Computer mathematics.
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