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portada Predicting Real World Behaviors from Virtual World Data
Type
Physical Book
Publisher
Language
Inglés
Pages
118
Format
Paperback
Dimensions
23.4 x 15.6 x 0.7 cm
Weight
0.20 kg.
ISBN13
9783319348490

Predicting Real World Behaviors from Virtual World Data

Ahmad, Muhammad Aurangzeb ; Shen, Cuihua ; Srivastava, Jaideep (Author) · Springer · Paperback

Predicting Real World Behaviors from Virtual World Data - Ahmad, Muhammad Aurangzeb ; Shen, Cuihua ; Srivastava, Jaideep

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  • Condition: New
Origin: U.S.A. (Import costs included in the price)
It will be shipped from our warehouse between Friday, July 12 and Friday, July 19.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.

Synopsis "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.

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