| 書目名稱 | Machine Learning Techniques for Online Social Networks |
| 編輯 | Tansel ?zyer,Reda Alhajj |
| 視頻video | http://file.papertrans.cn/621/620426/620426.mp4 |
| 概述 | Editors are widely known and well established scholars in social network analysis.Covers the link between machine learning techniques and social networks.Contains case studies describing how various d |
| 叢書名稱 | Lecture Notes in Social Networks |
| 圖書封面 |  |
| 描述 | 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.?. |
| 出版日期 | Book 2018 |
| 關(guān)鍵詞 | graph analysis; online social network; deep learning; data analysis; functional cluster extraction; compu |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-89932-9 |
| isbn_softcover | 978-3-030-07896-6 |
| isbn_ebook | 978-3-319-89932-9Series ISSN 2190-5428 Series E-ISSN 2190-5436 |
| issn_series | 2190-5428 |
| copyright | Springer International Publishing AG, part of Springer Nature 2018 |
|Archiver|手機(jī)版|小黑屋|
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