Predicting Real World Behaviors from Virtual World Data
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.
| ISBN: | 9783319348490 |
|---|---|
| Sprache: | Englisch |
| Seitenzahl: | 118 |
| Produktart: | Kartoniert / Broschiert |
| Herausgeber: | Ahmad, Muhammad Aurangzeb Contractor, Noshir Shen, Cuihua Srivastava, Jaideep |
| Verlag: | Springer International Publishing |
| Veröffentlicht: | 24.09.2016 |
| Schlagworte: | Behavioral Prediction Big Data in Virtual Worlds Gaming Versus Reality RWVW-2013 Proceedings Virtual Online Gaming Virtual Worlds Virtual World to Real World Prediction data-driven science, modeling and theory building |
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