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Machine Learning Techniques for Online Social Networks

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...

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Bibliographic Details
Other Authors: Özyer, Tansel (Editor), Alhajj, Reda (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2018, 2018
Edition:1st ed. 2018
Series:Lecture Notes in Social Networks
Subjects:
Sociology / Methodology
Social Media
Artificial Intelligence
Data Mining
Data Mining And Knowledge Discovery
Sociological Methods
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Description
Summary: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.
Physical Description:VIII, 236 p. 102 illus., 85 illus. in color online resource
ISBN:9783319899329

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