Heterogeneous Information Network Analysis and Applications (Hardcover, 1st ed. 2017)

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 or pattern recognition.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Data Analytics
Release date:	June 2017
First published:	2017
Authors:	Chuan Shi • Philip S. Yu
Dimensions:	235 x 155 x 20mm (L x W x T)
Format:	Hardcover
Pages:	227
Edition:	1st ed. 2017
ISBN-13:	978-3-319-56211-7
Categories:	Books > Computing & IT > Internet > Network computers Books > Computing & IT > Applications of computing > Pattern recognition Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General Books > Computing & IT > Applications of computing > Databases > Data mining Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	3-319-56211-8
Barcode:	9783319562117

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