Predicting Real World Behaviors from Virtual World Data

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Éditeur :

Springer


Collection :

Springer Proceedings in Complexity

Paru le : 2014-07-24

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Description
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.
Pages
118 pages
Collection
Springer Proceedings in Complexity
Parution
2014-07-24
Marque
Springer
EAN papier
9783319071411
EAN EPUB
9783319071428

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
11
Taille du fichier
1393 Ko
Prix
52,74 €