Predicting Real World Behaviors from Virtual World Data - Info and Reading Options
By Muhammad Aurangzeb Ahmad, Cuihua Shen, Jaideep Srivastava and Noshir Contractor
"Predicting Real World Behaviors from Virtual World Data" is published by Springer in Nov 11, 2016, the book is classified in Computers genre, it has 132 pages and the language of the book is English.
“Predicting Real World Behaviors from Virtual World Data” Metadata:
- Title: ➤ Predicting Real World Behaviors from Virtual World Data
- Authors: Muhammad Aurangzeb AhmadCuihua ShenJaideep SrivastavaNoshir Contractor
- Language: English
- Number of Pages: 132
- Is Family Friendly: Yes - No Mature Content
- Publisher: Springer
- Publish Date: Nov 11, 2016
- Genres: Computers
“Predicting Real World Behaviors from Virtual World Data” Subjects and Themes:
- Subjects: ➤ Data mining - Virtual reality - Computer science - Social sciences - Data processing - Methodology - Computer Appl. in Social and Behavioral Sciences - Socio- and Econophysics, Population and Evolutionary Models - Methodology of the Social Sciences - Mathematics in the Humanities and Social Sciences
Edition Specifications:
- Format: paperback
Edition Identifiers:
- Google Books ID: ItdFvgAACAAJ
- The Open Library ID: OL28039648M - OL20732528W
- ISBN-13: 9783319348490
- ISBN-10: 3319348493
- All ISBNs: 3319348493 - 9783319348490
AI-generated Review of “Predicting Real World Behaviors from Virtual World Data”:
Snippets and Summary:
This book addresses prediction, mining and analysis of offline characteristics and behaviors from online data and vice versa.
"Predicting Real World Behaviors from Virtual World Data" Description:
Google Books:
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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