Predicting Real World Behaviors from Virtual World Data
Download or Read eBook Predicting Real World Behaviors from Virtual World Data PDF written by Muhammad Aurangzeb Ahmad and published by Springer. This book was released on 2014-07-24 with total page 127 pages. Available in PDF, EPUB and Kindle.
Author | : Muhammad Aurangzeb Ahmad |
Publisher | : Springer |
Total Pages | : 127 |
Release | : 2014-07-24 |
ISBN-10 | : 9783319071428 |
ISBN-13 | : 3319071424 |
Rating | : 4/5 (28 Downloads) |
Book Synopsis Predicting Real World Behaviors from Virtual World Data by : Muhammad Aurangzeb Ahmad
Book excerpt: 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.