| 書目名稱 | Social Big Data Analytics | | 副標(biāo)題 | Practices, Technique | | 編輯 | Bilal Abu-Salih,Pornpit Wongthongtham,Amit Rudra | | 視頻video | http://file.papertrans.cn/870/869276/869276.mp4 | | 概述 | Provides in depth explanation and analysis of Big Social Data.Demonstrates core concepts with many visual illustrations such as tables, graphs and charts.Brings together expert evaluations in Big Soci | | 圖書封面 |  | | 描述 | This book focuses on data and how modern business firms use social data, specifically Online Social Networks (OSNs) incorporated as part of the infrastructure for a number of emerging applications such as personalized recommendation systems, opinion analysis, expertise retrieval, and computational advertising. This book identifies how in such applications, social data offers a plethora of benefits to enhance the decision making process..This book highlights that business intelligence applications are more focused on structured data; however, in order to understand and analyse the social big data, there is a need to aggregate data from various sources and to present it in a plausible format. Big Social Data (BSD) exhibit all the typical properties of big data: wide physical distribution, diversity of formats, non-standard data models, independently-managed and heterogeneous semantics but even further valuable with marketing opportunities..The book provides a review of the current state-of-the-art approaches for big social data analytics as well as to present dissimilar methods to infer value from social data. The book further examines several areas of research that benefits from the | | 出版日期 | Book 2021 | | 關(guān)鍵詞 | Social Big Data; Social Credibility; Big Data Analytics; Big Data Technology; Social Business Intelligen | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-33-6652-7 | | isbn_softcover | 978-981-33-6654-1 | | isbn_ebook | 978-981-33-6652-7 | | copyright | Springer Nature Singapore Pte Ltd. 2021 |
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