Predicting Real World Behaviors from Virtual World Data Paperback / softback
Edited by Muhammad Aurangzeb Ahmad, Cuihua Shen, Jaideep Srivastava, Noshir Contractor
Part of the Springer Proceedings in Complexity series
Paperback / softback
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.
Information
-
Out of stock
- Format:Paperback / softback
- Pages:118 pages, 27 Illustrations, color; 13 Illustrations, black and white; XIV, 118 p. 40 illus., 27 ill
- Publisher:Springer International Publishing AG
- Publication Date:24/09/2016
- Category:
- ISBN:9783319348490
Information
-
Out of stock
- Format:Paperback / softback
- Pages:118 pages, 27 Illustrations, color; 13 Illustrations, black and white; XIV, 118 p. 40 illus., 27 ill
- Publisher:Springer International Publishing AG
- Publication Date:24/09/2016
- Category:
- ISBN:9783319348490
