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

Dan A. Simovici, Chabane Djeraba

ISBN 10: 1848002009 / ISBN 13: 9781848002005

Edité par Springer-Verlag GmbH, 2008

A propos de cet article

Zustand: Sehr gut - Neubindung, Buchschnitt etwas zu weit abgeschnitten | Seiten: 616 | Sprache: Englisch | Produktart: Bücher. N° de réf. du vendeur 4284231/12

Détails bibliographiques

Titre : Mathematical Tools for Data Mining : Set ...

Éditeur : Springer-Verlag GmbH

Date d'édition : 2008

Reliure : Couverture rigide

Etat : Sehr gut

A propos de ce titre

Synopsis :

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.