TY  - BOOK
AU  - Nelakurthi,Arun Reddy
AU  - He,Jingrui
TI  - SOCIAL MEDIA ANALYTICS FOR USER BEHAVIOR MODELING: a task heterogeneity perspective
T2  - Data-enabled engineering
SN  - 9781000025408
AV  - Q325.5 
U1  - 006.312 23
PY  - 2020///
CY  - Boca Raton
PB  - CRC Press
KW  - Machine learning
KW  - Data mining
KW  - Social media
KW  - Social networks
KW  - COMPUTERS / Computer Vision & Pattern Recognition
KW  - bisacsh
KW  - COMPUTERS / Data Processing / General
KW  - COMPUTERS / Database Management / Data Mining
N2  - 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
UR  - https://www.taylorfrancis.com/books/9780429270352
UR  - http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
ER  -