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Predicting Real World Behaviors from Virtual World Data (Paperback, Softcover reprint of the original 1st ed. 2014) Loot Price: R1,842
Discovery Miles 18 420
Repayment Terms: R173 pm x 12*
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Predicting Real World Behaviors from Virtual World Data (Paperback, Softcover reprint of the original 1st ed. 2014): Muhammad...

Predicting Real World Behaviors from Virtual World Data (Paperback, Softcover reprint of the original 1st ed. 2014)

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

Series: Springer Proceedings in Complexity

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Loot Price R1,842 Discovery Miles 18 420 | Repayment Terms: R173 pm x 12*

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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: September 2016
First published: 2014
Editors: Muhammad Aurangzeb Ahmad • Cuihua Shen • Jaideep Srivastava • Noshir Contractor
Dimensions: 235 x 155 x 7mm (L x W x T)
Format: Paperback
Pages: 118
Edition: Softcover reprint of the original 1st ed. 2014
ISBN-13: 978-3-319-34849-0
Categories: Books > Social sciences > Sociology, social studies > Social research & statistics > General
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
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LSN: 3-319-34849-3
Barcode: 9783319348490

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