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Social Big Data Analytics: Practices, Techniques, and Applications book cover by Bilal Abu-Salih, Pornpit Wongthongtham, Dengya Zhu, Kit Yan Chan, Amit Rudra
Paperback

Social Big Data Analytics: Practices, Techniques, and Applications

by Bilal Abu-Salih, Pornpit Wongthongtham, Dengya Zhu, Kit Yan Chan and Amit Rudra

$140.79 / copy at 25+ copies As low as $137.59 at 100+Your best volume price

Total $3,519.75

Paperback · 218 pages Springer Nature Singapore · 2022

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About the book

Social Big Data Analytics

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 propagation of the social data. In particular, the book presents various technical approaches that produce data analytics capable of handling big data features and effective in filtering out unsolicited data and inferring a value. These approaches comprise advanced technical solutions able to capture huge amounts of generated data, scrutinise the collected data to eliminate unwanted data, measure the quality of the inferred data, and transform the amended data for further data analysis.  Furthermore, the book presents solutions to derive knowledge and sentiments from BSD and to provide social data classification and prediction. The approaches in this book also incorporate several technologies such as semantic discovery, sentiment analysis, affective computing and machine learning.

This book has additional special feature enriched with numerous illustrations such as tables, graphs and charts incorporating advanced visualisation tools in accessible an attractive display.


The book, Social Big Data Analytics: Practices, Techniques, and Applications [Bulk, Wholesale, Quantity] ISBN#9789813366541 in Paperback by Bilal Abu-Salih, Pornpit Wongthongtham, Dengya Zhu, Kit Yan Chan, Amit Rudra may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.

Details

Publisher
Springer Nature Singapore
Authors
Bilal Abu-Salih, Pornpit Wongthongtham, Dengya Zhu, Kit Yan Chan, Amit Rudra
Format
Paperback
Published
Mar 12, 2022
ISBN-13
9789813366541
Pages
218
Printing
Printed on demand
Buying for a group

Social Big Data Analytics in bulk: pricing

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CopiesPrice per copyYou save
25 – 49 $140.79 12% off list
50 – 99 $139.19 13% off list
100+ $137.59 14% off list
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