Predicting Real World Behaviors from Virtual World Data (Springer Proceedings in Complexity)

Predicting Real World Behaviors from Virtual World Data (Springer Proceedings in Complexity)

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

Synopsis

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.

$90.60

Quantity

20+ in stock

More Information

Format: Hardcover
Pages: 134
Edition: 2014
Publisher: Springer
Published: 07 Aug 2014

ISBN 10: 3319071416
ISBN 13: 9783319071411