Articles liés à Mathematical Tools for Data Mining: Set Theory, Partial...
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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Présentation de l'éditeur
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
- ÉditeurSpringer London Ltd
- Date d'édition2008
- ISBN 10 1848002009
- ISBN 13 9781848002005
- ReliureRelié
- Langueanglais
- Nombre de pages628
- Coordonnées du fabricantnon disponible
Autres éditions populaires du même titre
Résultats de recherche pour Mathematical Tools for Data Mining: Set Theory, Partial...
Image d'archives
Mathematical Tools for Data Mining : Set Theory, Partial Orders, Combinatorics
Edité par
Springer-Verlag GmbH, 2008
ISBN 10 : 1848002009
ISBN 13 : 9781848002005
Ancien ou d'occasion
Couverture rigide
Vendeur : Buchpark, Trebbin, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Etat : Sehr gut. Zustand: Sehr gut | Seiten: 616 | Sprache: Englisch | Produktart: Bücher. N° de réf. du vendeur 4284231/12
Quantité disponible : 1 disponible(s)
Image d'archives
Mathematical Tools for Data Mining: Set Theory, Partial Orders, Combinatorics (Advanced Information and Knowledge Processing)
Edité par
Springer, 2008
ISBN 10 : 1848002009
ISBN 13 : 9781848002005
Ancien ou d'occasion
Couverture rigide
Vendeur : dsmbooks, Liverpool, Royaume-Uni
Évaluation du vendeur 4 sur 5 étoiles
Hardcover. Etat : Very Good. Very Good. book. N° de réf. du vendeur D8S0-3-M-1848002009-4
Quantité disponible : 1 disponible(s)