Mathematical tools for data mining: set theory, partial orders, combinatorics
Auteur :
Simovici, Dan A. / Djeraba, Chabane
Éditeur :
Springer London Ltd
ISBN :
9781447164067
Date de publication :
9 avr. 2014
Dimensions :
23,5 x 15,5 cm
Langue :
Anglais
Pays d'origine :
Grande Bretagne
Data mining essentially relies on several mathematical disciplines, many of which are presented in this second edition of this book. 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.