MARC details
000 -LEADER |
fixed length control field |
02909nam a22002537a 4500 |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20221201112427.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
221201b ||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9789813366510 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
005.7 |
Item number |
ABU |
100 ## - MAIN ENTRY--PERSONAL NAME |
Personal name |
Abu-Salih, Bilal |
245 ## - TITLE STATEMENT |
Title |
Social big data analytics: |
Remainder of title |
practices, techniques, and applications |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Name of publisher, distributor, etc. |
Springer |
Place of publication, distribution, etc. |
Switzerland |
Date of publication, distribution, etc. |
2021 |
300 ## - PHYSICAL DESCRIPTION |
Extent |
x, 218 p. |
365 ## - TRADE PRICE |
Price type code |
EURO |
Price amount |
129.99 |
520 ## - SUMMARY, ETC. |
Summary, etc. |
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.<br/>This book highlights that business intelligence applications are more focused on structured data; however, in order to understand and analyze 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.<br/>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, scrutinize 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.<br/>This book has additional special feature enriched with numerous illustrations such as tables, graphs and charts incorporating advanced visualization tools in accessible an attractive display. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Big data |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Machine learning |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Marketing research |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Internet marketing |
700 ## - ADDED ENTRY--PERSONAL NAME |
Personal name |
Wongthongtham, Pornpit |
700 ## - ADDED ENTRY--PERSONAL NAME |
Personal name |
Chan, Kit Yan |
700 ## - ADDED ENTRY--PERSONAL NAME |
Personal name |
Rudra, Amit |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Dewey Decimal Classification |
Koha item type |
Book |