9783319071411-3319071416-Predicting Real World Behaviors from Virtual World Data (Springer Proceedings in Complexity)

Predicting Real World Behaviors from Virtual World Data (Springer Proceedings in Complexity)

ISBN-13: 9783319071411
ISBN-10: 3319071416
Edition: 2014
Author: Noshir Contractor, Jaideep Srivastava, Muhammad Aurangzeb Ahmad, Cuihua Shen
Publication date: 2014
Publisher: Springer
Format: Hardcover 132 pages
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ISBN-13: 9783319071411
ISBN-10: 3319071416
Edition: 2014
Author: Noshir Contractor, Jaideep Srivastava, Muhammad Aurangzeb Ahmad, Cuihua Shen
Publication date: 2014
Publisher: Springer
Format: Hardcover 132 pages

Summary

Predicting Real World Behaviors from Virtual World Data (Springer Proceedings in Complexity) (ISBN-13: 9783319071411 and ISBN-10: 3319071416), written by authors Noshir Contractor, Jaideep Srivastava, Muhammad Aurangzeb Ahmad, Cuihua Shen, was published by Springer in 2014. With an overall rating of 4.4 stars, it's a notable title among other Computer Science (Data Processing, Databases & Big Data, Applied, Mathematics, System Theory, Physics, Methodology, Social Sciences) books. You can easily purchase or rent Predicting Real World Behaviors from Virtual World Data (Springer Proceedings in Complexity) (Hardcover) from BooksRun, along with many other new and used Computer Science books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

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.

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