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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Ahmad, Muhammad Aurangzeb (Editor ), Shen, Cuihua (Editor ), Srivastava, Jaideep (Editor ), Contractor, Noshir (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2014.
Edición:1st ed. 2014.
Colección:Springer Proceedings in Complexity,
Temas:
Social sciences-Data processing.
System theory.
Sociology-Methodology.
Mathematics.
Social sciences.
Computer Application in Social and Behavioral Sciences.
Complex Systems.
Sociological Methods.
Mathematics in the Humanities and Social Sciences.
Acceso en línea:Texto Completo
Descripción
Sumario: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 that focuses on the similarities and differences between how people behave in the offline world vs. how they behave in these virtual environments. Data mining has aided in discovering interesting insights with respect to how people behave in these virtual environments.
Descripción Física:XIV, 118 p. 40 illus., 27 illus. in color. online resource.
ISBN:9783319071428
ISSN:2213-8692

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