Téléchargez le livre : Mathematical Tools for Data Mining

Mathematical Tools for Data Mining

Set Theory, Partial Orders, Combinatorics de

,

Éditeur :

Springer


Collection :

Advanced Information and Knowledge Processing

Paru le : 2014-03-27

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Description
Data mining essentially relies on several mathematical disciplines, many of which are presented in this second edition of this book. Topics include partially ordered sets, combinatorics, general topology, metric spaces, linear spaces, graph theory. To motivate the reader a significant number of applications of these mathematical tools are included ranging from association rules, clustering algorithms, classification, data constraints, logical data analysis, etc. The book is intended as a reference for researchers and graduate students. The current edition is a significant expansion of the first edition. We strived to make the book self-contained and only a general knowledge of mathematics is required. More than 700 exercises are included and they form an integral part of the material. Many exercises are in reality supplemental material and their solutions are included.
Pages
831 pages
Collection
Advanced Information and Knowledge Processing
Parution
2014-03-27
Marque
Springer
EAN papier
9781447164067
EAN EPUB
9781447164074
Informations sur l'ebook
Nombre pages copiables
8
Nombre pages imprimables
83
Taille du fichier
25344 Ko
Prix
126,59 €

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