Predicting Real World Behaviors from Virtual World Data (2014) (Springer Proceedings in Complexity)
By: and and and
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- Synopsis
- 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.
- Copyright:
- 2014
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783319071428
- Related ISBNs:
- 9783319071411
- Publisher:
- Springer International Publishing
- Date of Addition:
- 08/30/19
- Copyrighted By:
- Springer International Publishing, Cham
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Science, Computers and Internet, Social Studies, Mathematics and Statistics
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Muhammad Aurangzeb Ahmad
- Edited by:
- Cuihua Shen
- Edited by:
- Jaideep Srivastava
- Edited by:
- Noshir Contractor
Reviews
Other Books
- by Muhammad Aurangzeb Ahmad
- by Cuihua Shen
- by Jaideep Srivastava
- by Noshir Contractor
- in Nonfiction
- in Science
- in Computers and Internet
- in Social Studies
- in Mathematics and Statistics