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
Category:
Computer Science
,
Data Processing
,
Databases & Big Data
,
Applied
,
Mathematics
,
System Theory
,
Physics
,
Methodology
,
Social Sciences
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Book details
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
Category:
Computer Science
,
Data Processing
,
Databases & Big Data
,
Applied
,
Mathematics
,
System Theory
,
Physics
,
Methodology
,
Social Sciences
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
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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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