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. Ed(S): Ahmad, Muhammad Aurangzeb; Shen, Cuihua; Srivastava, Jaideep - Predicting Real World Behaviors from Virtual World Data - 9783319348490 - V9783319348490
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Predicting Real World Behaviors from Virtual World Data

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Description for Predicting Real World Behaviors from Virtual World Data Paperback. Editor(s): Ahmad, Muhammad Aurangzeb; Shen, Cuihua; Srivastava, Jaideep. Series: Springer Proceedings in Complexity. Num Pages: 132 pages, 13 black & white illustrations, 27 colour illustrations, 49 black & white tables, biograp. BIC Classification: JHBC; PDE. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 7. Weight in Grams: 215.
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.

Product Details

Format
Paperback
Publication date
2016
Publisher
Springer International Publishing AG Switzerland
Number of pages
132
Condition
New
Series
Springer Proceedings in Complexity
Number of Pages
118
Place of Publication
Cham, Switzerland
ISBN
9783319348490
SKU
V9783319348490
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

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