SOCIAL MEDIA ANALYTICS FOR USER BEHAVIOR MODELING (Record no. 71163)

000 -LEADER
fixed length control field 02828cam a2200529M 4500
001 - CONTROL NUMBER
control field 9780429270352
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220711212357.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200129s2020 flu o 000 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781000025408
-- (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 1000025403
-- (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9780429270352
-- (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 0429270356
-- (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781000025361
-- (electronic bk. : PDF)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 1000025365
-- (electronic bk. : PDF)
082 04 - CLASSIFICATION NUMBER
Call Number 006.312
100 1# - AUTHOR NAME
Author Nelakurthi, Arun Reddy.
245 10 - TITLE STATEMENT
Title SOCIAL MEDIA ANALYTICS FOR USER BEHAVIOR MODELING
Sub Title a task heterogeneity perspective.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Boca Raton :
Publisher CRC Press,
Year of publication 2020.
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 online resource.
490 1# - SERIES STATEMENT
Series statement Data-enabled engineering
520 ## - SUMMARY, ETC.
Summary, etc In recent years social media has gained significant popularity and has become an essential medium of communication. Such user-generated content provides an excellent scenario for applying the metaphor of mining any information. Transfer learning is a research problem in machine learning that focuses on leveraging the knowledge gained while solving one problem and applying it to a different, but related problem. Features: Offers novel frameworks to study user behavior and for addressing and explaining task heterogeneity Presents a detailed study of existing research Provides convergence and complexity analysis of the frameworks Includes algorithms to implement the proposed research work Covers extensive empirical analysis Social Media Analytics for User Behavior Modeling: A Task Heterogeneity Perspective is a guide to user behavior modeling in heterogeneous settings and is of great use to the machine learning community.
700 1# - AUTHOR 2
Author 2 He, Jingrui.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://www.taylorfrancis.com/books/9780429270352
856 42 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
588 ## -
-- OCLC-licensed vendor bibliographic record.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Machine learning.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data mining.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Social media.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Social networks.
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- COMPUTERS / Computer Vision & Pattern Recognition
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- COMPUTERS / Data Processing / General
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- COMPUTERS / Database Management / Data Mining

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