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Item Details
Title: SOCIAL COMPUTING, BEHAVIORAL MODELING, AND PREDICTION
By: Huan Liu (Editor), John J. Salerno (Editor), Michael J. Young (Editor)
Format: Paperback

List price: £158.00


We currently do not stock this item, please contact the publisher directly for further information.

ISBN 10: 1441945970
ISBN 13: 9781441945976
Publisher: SPRINGER-VERLAG NEW YORK INC.
Pub. date: 12 February, 2010
Edition: Softcover reprint of hardcover 1st ed. 2008
Pages: 264
Synopsis: Social computing concerns the study of social behavior and context based on computational systems. Behavioral modeling reproduces the social behavior, and allows for experimenting with and deep understanding of behavior, patterns, and potential outcomes. The pervasive use of computer and Internet technologies provides an unprecedented environment where people can share opinions and experiences, offer suggestions and advice, debate, and even conduct experiments. Social computing facilitates behavioral modeling in model building, analysis, pattern mining, anticipation, and prediction. The proceedings from this interdisciplinary workshop provide a platform for researchers, practitioners, and graduate students from sociology, behavioral and computer science, psychology, cultural study, information systems, and operations research to share results and develop new concepts and methodologies aimed at advancing and deepening our understanding of social and behavioral computing to aid critical decision making.
Illustrations: 100 Tables, black and white; XVIII, 264 p.
Publication: US
Imprint: Springer-Verlag New York Inc.
Returns: Returnable
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COMPUTATIONAL METHODS OF FEATURE SELECTION
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DETECTING FAKE NEWS ON SOCIAL MEDIA
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MODELING AND DATA MINING IN BLOGOSPHERE
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SOCIAL MEDIA MINING
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SPECTRAL FEATURE SELECTION FOR DATA MINING
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TRUST IN SOCIAL MEDIA
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