Predicting Real World Behaviors from Virtual World Data (Hardcover, 2014 ed.)


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.

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Product Description

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.

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Product Details

General

Imprint

Springer International Publishing AG

Country of origin

Switzerland

Series

Springer Proceedings in Complexity

Release date

August 2014

Availability

Expected to ship within 12 - 17 working days

First published

2014

Editors

, , ,

Dimensions

235 x 155 x 10mm (L x W x T)

Format

Hardcover

Pages

118

Edition

2014 ed.

ISBN-13

978-3-319-07141-1

Barcode

9783319071411

Categories

LSN

3-319-07141-6



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