Machine Learning Techniques for Online Social Networks (Hardcover, 1st ed. 2018)

The book covers tools in the study of online social networks such as machine learning techniques, clustering, and deep learning. A variety of theoretical aspects, application domains, and case studies for analyzing social network data are covered. The aim is to provide new perspectives on utilizing machine learning and related scientific methods and techniques for social network analysis. Machine Learning Techniques for Online Social Networks will appeal to researchers and students in these fields.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Lecture Notes in Social Networks
Release date:	June 2018
First published:	2018
Editors:	Tansel Oezyer • Reda Alhajj
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	236
Edition:	1st ed. 2018
ISBN-13:	978-3-319-89931-2
Categories:	Books > Reference & Interdisciplinary > Communication studies > Media studies Books > Computing & IT > Applications of computing > Databases > Data mining Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	3-319-89931-7
Barcode:	9783319899312

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