Machine Learning Techniques for Online Social Networks

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Özyer, Tansel (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Alhajj, Reda (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: Lecture Notes in Social Networks,
• Θέματα: 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.
• Φυσική περιγραφή: VIII, 236 p. 102 illus., 85 illus. in color. online resource.
• ISBN: 9783319899329
• ISSN: 2190-5428
• DOI: 10.1007/978-3-319-89932-9

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. .