Advances in Knowledge Discovery in Databases

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Éditeur :

Springer


Paru le : 2014-12-27

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Description

This book presents recent advances in Knowledge discovery in databases (KDD) with a focus on the areas of market basket database, time-stamped databases and multiple related databases. Various interesting and intelligent algorithms are reported on data mining tasks. A large number of association measures are presented, which play significant roles in decision support applications. This book presents, discusses and contrasts new developments in mining time-stamped data, time-based data analyses, the identification of temporal patterns, the mining of multiple related databases, as well as local patterns analysis.
 
Pages
370 pages
Collection
n.c
Parution
2014-12-27
Marque
Springer
EAN papier
9783319132112
EAN EPUB
9783319132129

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
37
Taille du fichier
3594 Ko
Prix
94,94 €

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