Heterogeneous Information Network Analysis and Applications

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Éditeur :

Springer


Paru le : 2017-05-25

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Description

This book offers researchers an understanding of the fundamental issues and a good starting point to work on this rapidly expanding field. It provides a comprehensive survey of current developments of heterogeneous information network. It also presents the newest research in applications of heterogeneous information networks to similarity search, ranking, clustering, recommendation. 




This information will help researchers to understand how to analyze networked data with heterogeneous information networks. Common data mining tasks are explored, including similarity search, ranking, and recommendation. The book illustrates some prototypes which analyze networked data.




Professionals and academics working in data analytics, networks, machine learning, and data mining will find this content valuable. It is also suitable for advanced-level students in computer science who are interested in networking orpattern recognition. 







Pages
227 pages
Collection
n.c
Parution
2017-05-25
Marque
Springer
EAN papier
9783319562117
EAN PDF
9783319562124

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
22
Taille du fichier
6707 Ko
Prix
137,14 €
EAN EPUB
9783319562124

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
22
Taille du fichier
3215 Ko
Prix
137,14 €

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