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Social media analytics for user behavior modeling : a task heterogeneity perspective / [electronic resource]

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자료유형E-Book
개인저자Nelakurthi, Arun Reddy, author.
He, Jingrui, author.
서명/저자사항Social media analytics for user behavior modeling :a task heterogeneity perspective /Arun Reddy Nelakurthi, Jingrui He.[electronic resource]
형태사항1 online resource (xv, 97 pages) : illustrations
총서사항Data-enabled engineering
소장본 주기Master record variable field(s) change: 050
ISBN9781000025408
1000025403
9781000025361
1000025365
9780429270352
0429270356


기타표준부호10.1201/9780429270352doi
서지주기Includes bibliographical references and index.
요약In 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.
일반주제명Machine learning.
Data mining.
Social media.
Social networks.
COMPUTERS -- Computer Vision & Pattern Recognition.
COMPUTERS -- Data Processing -- General.
COMPUTERS -- Database Management -- Data Mining.
Data mining.
Machine learning.
Social media.
Social networks.
언어영어
기타형태 저록Print version:9781000025408
Print version:03672115809780367211585
대출바로가기https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2274423

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