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Loại tài liệu: Tài liệu số - Book
Thông tin trách nhiệm: Abu-Salih, Bilal; Wongthongtham , Pornpit; Zhu, Dengya; Chan, Kit Yan; Rudra, Amit
Nhà Xuất Bản: Springer
Năm Xuất Bản: 2021
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.
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