Social media analytics for user behavior modeling : a task heterogeneity perspective / Arun Reddy Nelakurthi, Jingrui He

Von:

Nelakurthi, Arun Reddy [VerfasserIn]

Mitwirkende(r):

He, Jingrui [VerfasserIn]

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Data-enabled engineeringVerlag: Boca Raton : CRC Press, [2020]Beschreibung: 1 Online-Ressource (xv, 97 pages) : illustrationsISBN:

0429270356
1000025403
1000025365
9781000025361
9781000025408
9780429270352

Schlagwörter:

Andere physische Formen: 9781000025408 | 0367211580 | 9780367211585 | Erscheint auch als: 9781000025408 Druck-Ausgabe | Erscheint auch als: 0367211580 Druck-AusgabeDDC-Klassifikation:

006.312

LOC-Klassifikation:

Q325.5

Online-Ressourcen:

Zugang im Netz des KIT

Zusammenfassung: 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 communityPPN: PPN: 1755159862Package identifier: Produktsigel: BSZ-4-NLEBK-KAUB | ZDB-4-NLEBK

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