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

Format Post in Computer BY Chaabane Djeraba, Dan A. Simovici

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Mathematical tools for data mining: set theory, partial orders, combinatorics Chaabane Djeraba, Dan A. Simovici is available to download

Mathematical tools for data mining: set theory, partial orders, combinatorics Chaabane Djeraba, Dan A.Mathematical tools for data ... Textbook Simovici
Type:	eBook
Released:	2008
Publisher:	Society For Industrial &
Page Count:	610
Format:	pdf
Language:	English
ISBN-10:	1848002009
ISBN-13:	9781848002005

This book integrates the mathematics of data mining with its applications, offering the reader a reference to the mathematical tools required for data mining. 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. 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. 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.