Predicting Real World Behaviors from Virtual World Data (Paperback) (ISBN-13: 9783319348490)

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.

Author: Muhammad Aurangzeb Ahmad
ISBN-10: 3319348493
ISBN-13: 9783319348490
Publisher: Springer
Language: English
Published: 09/24/2016
Pages: 118
Format: Paperback
Weight: 0.44lbs
Size: 9.21h x 6.14w x 0.29d