Machine Learning Techniques for Online Social Networks
Author | : Tansel Özyer |
Publisher | : Springer |
Total Pages | : 241 |
Release | : 2018-05-30 |
ISBN-10 | : 9783319899329 |
ISBN-13 | : 3319899325 |
Rating | : 4/5 (325 Downloads) |
Download or read book Machine Learning Techniques for Online Social Networks written by Tansel Özyer and published by Springer. This book was released on 2018-05-30 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.