Social data analytics / (Record no. 676433)

MARC details
000 -LEADER
fixed length control field 02520cam a2200241 i 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781032196275
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 302.23
Edition number 23
Item number BEH.S
084 ## - OTHER CLASSIFICATION NUMBER
Source of Number Colon Classification
100 1# - MAIN ENTRY--AUTHOR NAME
Personal name Beheshti, Amin,
245 10 - TITLE STATEMENT
Title Social data analytics /
Statement of responsibility, etc Amin Beheshti, School of Computing, Macquarie University, Sydney, Australia, Samira Ghodratnama, School of Computing, Macquarie University, Sydney, Australia, Mehdi Elahi, Department of Information Science and Media Studies, University of Bergen, Norway, Helia Farhood, School of Computing, Macquarie University, Sydney, Australia.
250 ## - EDITION STATEMENT
Edition statement First edition.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication BOCA RATON:
Name of publisher CRC PRESS,
Year of publication 2022.
300 ## - PHYSICAL DESCRIPTION
Number of Pages xii, 238 pages :
Other physical details color illustrations ;
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc "The book provides an introduction to social data analytics along with its challenges and opportunities. It chiefly focuses on concepts, techniques and methods for organizing, curating, processing and analyzing big social data: from text to image and video analytics. It also provides novel techniques in storytelling with social data to facilitate the knowledge and fact discovery. It covers a large body of knowledge on to help practitioners and researchers understand the underlying concepts, problems, methods, tools and techniques involved in modern social data analytics. The book provides researchers with an introduction to these fields by comprehensively classifying the current state of research, by describing in-depth techniques and methods, and by highlighting future research directions. Lecturers will find a wealth of material to choose from for a variety of courses, ranging from undergraduate courses in data science to graduate courses in data analytics. The key highlights of the book are that it covers a large body of knowledge to help practitioners and researchers understand the problems, concepts, methods and tools involved in modern social data analytics. It also includes a wealth of material to choose from for courses in data science and analytics. The book provides real-world applications of social data analytics, including: Sales and Marketing, Influence Maximization, Situational Awareness, customer success and Segmentation, and performance analysis of the industry"--
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Social media
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Text processing (Computer science)
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Information visualization.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Data mining.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Ghodratnama, Samira,
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Elahi, Mehdi,
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Holdings
Withdrawn status Lost status Damaged status Not for loan Home Library Current Location Date acquired Full call number Accession Number Price effective from Koha item type
        Campus Library Kariavattom Campus Library Kariavattom 04/04/2023 302.23 BEH.S UCL33491 04/04/2023 Book