Redescription Mining

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,

Éditeur :

Springer


Collection :

SpringerBriefs in Computer Science

Paru le : 2018-01-10

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Description

This book provides a gentle introduction to redescription mining, a versatile data mining tool that is useful to find distinct common characterizations of the same objects and, vice versa, to identify sets of objects that admit multiple shared descriptions. It is intended for readers who are familiar with basic data analysis techniques such as clustering, frequent itemset mining, and classification. Redescription mining is defined in a general way, making it applicable to different types of data. The general framework is made more concrete through many practical examples that show the versatility of redescription mining. The book also introduces the main algorithmic ideas for mining redescriptions, together with applications from various domains. The final part of the book contains variations and extensions of the basic redescription mining problem, and discusses some future directions and open questions. 
Pages
80 pages
Collection
SpringerBriefs in Computer Science
Parution
2018-01-10
Marque
Springer
EAN papier
9783319728889
EAN PDF
9783319728896

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
8
Taille du fichier
3092 Ko
Prix
52,74 €
EAN EPUB
9783319728896

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
8
Taille du fichier
2109 Ko
Prix
52,74 €