Predicting Real World Behaviors from Virtual World Data
Muhammad Aurangzeb Ahmad, Cuihua Shen, Jaideep Srivastava, Noshir Contractor (eds.)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.
年:
2014
出版:
1
出版社:
Springer International Publishing
语言:
english
页:
118
ISBN 10:
3319071424
ISBN 13:
9783319071428
系列:
Springer Proceedings in Complexity
文件:
PDF, 3.09 MB
IPFS:
,
english, 2014
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