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Predicting Real World Behaviors from Virtual World Data

This book addresses prediction, mining and analysis of offline characteristics and behaviors from online data and vice versa. Each chapter will focus on a different aspect of virtual worlds to real world prediction e.g., demographics, personality, location, etc. There is a growing body of literature...

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Korporativní autor: SpringerLink (Online service)
Další autoři: Ahmad, Muhammad Aurangzeb. (Editor, http://id.loc.gov/vocabulary/relators/edt), Shen, Cuihua. (Editor, http://id.loc.gov/vocabulary/relators/edt), Srivastava, Jaideep. (Editor, http://id.loc.gov/vocabulary/relators/edt), Contractor, Noshir. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Médium: Elektronický zdroj E-kniha
Jazyk:English
Vydáno: Cham : Springer International Publishing : Imprint: Springer, 2014.
Vydání:1st ed. 2014.
Edice:Springer Proceedings in Complexity,
Témata:
Application software.
Sociophysics.
Econophysics.
Social sciences.
Mathematics.
Computer Appl. in Social and Behavioral Sciences.
Data-driven Science, Modeling and Theory Building.
Methodology of the Social Sciences.
Mathematics in the Humanities and Social Sciences.
On-line přístup:https://doi.org/10.1007/978-3-319-07142-8
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https://doi.org/10.1007/978-3-319-07142-8

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