Machine Learning Techniques for Online Social Networks
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Machine Learning Techniques for Online Social Networks  (English, Hardcover, unknown)

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    Highlights
    • Language: English
    • Binding: Hardcover
    • Publisher: Springer International Publishing AG
    • Genre: Social Science
    • ISBN: 9783319899312, 9783319899312
    • Pages: 236
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  • Description
    The book covers tools in the study of online social networks such as machine learning techniques, clustering, and deep learning. A variety of theoretical aspects, application domains, and case studies for analyzing social network data are covered. The aim is to provide new perspectives on utilizing machine learning and related scientific methods and techniques for social network analysis. Machine Learning Techniques for Online Social Networks will appeal to researchers and students in these fields.
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    Specifications
    Book Details
    Imprint
    • Springer International Publishing AG
    Dimensions
    Height
    • 235 mm
    Length
    • 155 mm
    Weight
    • 3655 gr
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