Predicting Real World Behaviors from Virtual World Data

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53,49 

Springer Proceedings in Complexity

ISBN: 3319348493
ISBN 13: 9783319348490
Herausgeber: Muhammad Aurangzeb Ahmad/Cuihua Shen/Jaideep Srivastava et al
Verlag: Springer Verlag GmbH
Umfang: xiv, 118 S., 13 s/w Illustr., 27 farbige Illustr., 118 p. 40 illus., 27 illus. in color.
Erscheinungsdatum: 24.09.2016
Auflage: 1/2014
Produktform: Kartoniert
Einband: Kartoniert

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.

Artikelnummer: 9930111 Kategorie:

Beschreibung

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. The 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.

Herstellerkennzeichnung:


Springer Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

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