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Predicting Real World Behaviors from Virtual World Data (Springer Proceedings in Complexity) - Hardcover
Synopsis
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.
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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 this title" may belong to another edition of this title.
- PublisherSpringer
- Publication date2014
- ISBN 10 3319071416
- ISBN 13 9783319071411
- BindingHardcover
- LanguageEnglish
- Number of pages132
- EditorAhmad Muhammad Aurangzeb, Shen Cuihua, Srivastava Jaideep, Contractor Noshir
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Predicting Real World Behaviors from Virtual World Data (Springer Proceedings in Complexity)
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Predicting Real World Behaviors from Virtual World Data
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Predicting Real World Behaviors from Virtual World Data
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Predicting Real World Behaviors from Virtual World Data
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