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Herausgeber: 
  • Michael J. Young
  • Huan Liu
  • John Salerno
  • Social Computing and Behavioral Modeling 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  November 2010  
    Genre:  EDV / Informatik 
     
    Application software / C / Computer and Information Systems Applications / Computer Appl. in Social and Behavioral Sciences / Computer applications in the social & behavioural sciences / computer science / Data Mining / Data Mining and Knowledge Discovery
    ISBN:  9781441954916 
    EAN-Code: 
    9781441954916 
    Verlag:  Springer EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  429 gr 
    Seiten:  264 
    Illustration:  XVI, 264 p. 100 illus., schwarz-weiss Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Social computing concerns the study of social behavior and context based on computational systems. Behavioral modeling reproduces the social behavior, and allows for experimenting, scenario planning, and deep understanding of behavior, patterns, and potential outcomes. The pervasive use of computer and Internet technologies creates an unprecedented environment where people can share opinions and experiences, exchange ideas, offer suggestions and advice, debate and even conduct experiments. Social computing facilitates behavioral modeling in model building, analysis, pattern mining, anticipation, and prediction. This volume presents material from the second interdisciplinary workshop focused on employing social computing for behavioral modeling and prediction. The book provides a platform for disseminating results and developing new concepts and methodologies aimed at advancing and deepening our understanding of social and behavioral computing to aid critical decision making. The contributions from this year's conference, incorporating views from government, industry and academia, address themes such as: social network analysis modeling machine learning and data mining social behaviors and social order public health cultural aspects trust, privacy, and intention opinion, preference, influence, and diffusion extreme events assessment and validation effects and search Researchers, practitioners and graduate students from sociology, behavioral and computer science, psychology, cultural study, information systems, political science, and operations research are certain to find this a fascinating and essential resource.      
      



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