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Predicting Real World Behaviors from Virtual World Data (Hardcover, 2014 ed.) Loot Price: R1,877

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Repayment Terms: R176 pm x 12*

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Predicting Real World Behaviors from Virtual World Data (Hardcover, 2014 ed.): Muhammad Aurangzeb Ahmad, Cuihua Shen, Jaideep...

Predicting Real World Behaviors from Virtual World Data (Hardcover, 2014 ed.)

Muhammad Aurangzeb Ahmad, Cuihua Shen, Jaideep Srivastava, Noshir Contractor

Series: Springer Proceedings in Complexity

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List price ~~R2,537~~ Loot Price R1,877 Discovery Miles 18 770 | Repayment Terms: R176 pm x 12* You Save R660 (26%)

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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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Springer Proceedings in Complexity
Release date:	August 2014
First published:	2014
Editors:	Muhammad Aurangzeb Ahmad • Cuihua Shen • Jaideep Srivastava • Noshir Contractor
Dimensions:	235 x 155 x 10mm (L x W x T)
Format:	Hardcover
Pages:	118
Edition:	2014 ed.
ISBN-13:	978-3-319-07141-1
Categories:	Books > Computing & IT > Applications of computing > Virtual reality Books > Computing & IT > Social & legal aspects of computing > Impact of computing & IT on society Books > Social sciences > Sociology, social studies > Social institutions > General Promotions
LSN:	3-319-07141-6
Barcode:	9783319071411