Predicting Real World Behaviors from Virtual World Data

by Muhammad Aurangzeb Ahmad (Editor), Cuihua Shen (Editor), Jaideep Srivastava (Editor)

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.

132 pages, Hardcover

First published June 12, 2014

About the author

AKA Von Aurum