| 書目名稱 | From Social Data Mining and Analysis to Prediction and Community Detection |
| 編輯 | Mehmet Kaya,?zcan Erdo?an,Jon Rokne |
| 視頻video | http://file.papertrans.cn/349/348939/348939.mp4 |
| 概述 | Describes a system for email recipient prediction.Includes a Web search engine that facilitates tweets categorization.Covers frequent and non-frequent sequential itemsets detection |
| 叢書名稱 | Lecture Notes in Social Networks |
| 圖書封面 |  |
| 描述 | This book presents the state-of-the-art in various aspects of analysis and mining of online social networks. Within the broader context of online social networks, it focuses on important and upcoming topics of social network analysis and mining such as the latest in sentiment trends research and a variety of techniques for community detection and analysis. The book collects chapters that are expanded versions of the best papers presented at the?IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM’2015), which was held in Paris, France in August 2015. All papers have been peer reviewed and checked carefully for overlap with the literature.?The book will appeal to students and researchers in social network analysis/mining and machine learning. |
| 出版日期 | Book 2017 |
| 關(guān)鍵詞 | Clustering Memes in Social Media; Point Reward Mechanism; Email Recipient Prediction; Tweet Categorizat |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-51367-6 |
| isbn_softcover | 978-3-319-84631-6 |
| isbn_ebook | 978-3-319-51367-6Series ISSN 2190-5428 Series E-ISSN 2190-5436 |
| issn_series | 2190-5428 |
| copyright | Springer International Publishing AG 2017 |
|Archiver|手機(jī)版|小黑屋|
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