Mathematical Tools for Data Mining

Name: Mathematical Tools for Data Mining
Brand: Springer, Berlin
SKU: 9781848002005
Price: 164.47 EUR
Availability: InStock

Set Theory, Partial Orders, Combinatorics

Autor: Dan A. Simovici, Chabane Djeraba

Jazyk:

Väzba: Pevná

Vydavateľ: Springer, Berlin

Dostupnosť: 50 % šanca

Prehľadáme celý svet

164.47 €

This book integrates the mathematics of data mining with its applications, offering the reader a ref...

Informácie o knihe

Autor

Dan A. Simovici, Chabane Djeraba

Jazyk

Angličtina

Väzba

Kniha - Pevná

Vydalo

2008

Stránok

616

EAN

9781848002005

Enbook ID

01433882

Vydavateľ

Springer, Berlin

Hmotnosť

1057

Rozmery

155 x 235

Kompletný popis

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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Mathematical Tools for Data Mining

Set Theory, Partial Orders, Combinatorics

Informácie o knihe

Kompletný popis

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