Machine Learning Techniques for Online Social Networks

• Corporate Author: SpringerLink (Online service)
• Other Authors: Özyer, Tansel (Editor, http://id.loc.gov/vocabulary/relators/edt), Alhajj, Reda (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Lecture Notes in Social Networks,
• Subjects: Social sciences-Data processing.; Social sciences-Computer programs.; Data mining.; Social media.; Artificial intelligence.; Computational Social Sciences.; Data Mining and Knowledge Discovery.; Social Media.; Artificial Intelligence.

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...