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Název:		Mathematical tools for data mining : Set theory, partial orders, combinatorics
Autor:		Simovici, Dan A.
Rok vydání:		2008
Identifikátory:		9781848002012

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Anotace:	<P>This book integrates the mathematics of data mining with its applications, offering the reader a reference to the mathematical tools required for data mining.</P> <P>Dedicated to the study of set-theoretical foundations of data mining, this book is focused on set theory and several closely related areas: partially ordered sets and lattice theory, metric spaces and combinatorics. The book is structured into 4 parts and presents a comprehensive discussion of the subject.</P> <P>Features and topics include: - Study of functions and relations, - Applications are provided throughout, - Presents graphs and hypergraphs, - Covers partially ordered sets, lattices and Boolean algebras, - Finite partially ordered sets, - Focuses on metric spaces, - Includes combinatorics, - Discusses the theory of the Vapnik-Chervonenkis dimension of collections of sets.</P> <P>Intended as a reference for the working data miner and researchers, a good knowledge of calculus is required to make the best use of this book, which will prove a useful reference.</P>
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