Predicting Real World Behaviors from Virtual World Data
Ahmad, Muhammad Aurangzeb (EDT); Shen, Cuihua (EDT); Srivastava, Jaideep (EDT); Contractor, Noshir (EDT)
Language: English
Published by Springer, 2016
- Softcover
- New
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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- Title
- Predicting Real World Behaviors from Virtual World Data
- Author
- Ahmad, Muhammad Aurangzeb (EDT); Shen, Cuihua (EDT); Srivastava, Jaideep (EDT); Contractor, Noshir (EDT)
- Publisher
- Springer
- Publication year
- 2016
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3319348493
- ISBN 13
- 9783319348490
- Series
- Book 8 of 45: Springer Proceedings in Complexity
"Synopsis" may belong to another edition of this title.
From the Back Cover
This 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.
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.
"About the title" may belong to another edition of this title.
GreatBookPricesUK
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