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Predicting Real World Behaviors from Virtual World Data (Softcover Reprint of the Original 1st 2014)

Contributor(s): Ahmad, Muhammad Aurangzeb (Editor), Shen, Cuihua (Editor), Srivastava, Jaideep (Editor), Contractor, Noshir (Editor)

ISBN: 9783319348490

Publisher: Springer

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Pub Date: September 24, 2016

Dewey: 004

Lexile Code: 0000

Features: Illustrated

Target Age Group: NA to NA

Physical Info: 0.29" H x 9.21" L x 6.14" W ( 0.44 lbs) 118 pages

Series: Springer Proceedings in Complexity

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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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