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

Mathematical Tools for Data Mining Set Theory, Partial Orders, Combinatorics / by Dan A. Simovici, Chaabane Djeraba.

The maturing of the field of data mining has brought about an increased level of mathematical sophistication. Such disciplines like topology, combinatorics, partially ordered sets and their associated algebraic structures (lattices and Boolean algebras), and metric spaces are increasingly applied in...

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Bibliographic Details
Main Authors: Simovici, Dan A. (Author, http://id.loc.gov/vocabulary/relators/aut), Djeraba, Chaabane. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: London : Springer London : Imprint: Springer, 2008.
Edition:1st ed. 2008.
Series:Advanced Information and Knowledge Processing,
Springer eBook Collection.
Subjects:
Data mining.
Computer science—Mathematics.
Computer mathematics.
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