Książka Mathematical Tools for Data Mining Dan A. Simovici

Mathematical Tools for Data Mining

Set Theory, Partial Orders, Combinatorics

Język: Angielski
Oprawa: Twarda
Wydawca: Springer, Berlin
Dostępność: 50 % szansa
Przeszukamy cały świat
697.75
This book integrates the mathematics of data mining with its applications, offering the reader a ref...

Informacje o książce

Język
Angielski
Oprawa
Książka - Twarda
Data wydania
2008
strony
616
EAN
9781848002005
Enbook ID
01433882
Waga
1057
Wymiary
155 x 235

Pełny opis

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.

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