Predicting Real World Behaviors from Virtual World Data

Ahmad, Muhammad Aurangzeb (EDT); Shen, Cuihua (EDT); Srivastava, Jaideep (EDT); Contractor, Noshir (EDT)

ISBN 10: 3319348493 / ISBN 13: 9783319348490

Published by Springer, 2016

About this Item

Unread book in perfect condition.

Seller Inventory # 28061504

Bibliographic Details

• Title: Predicting Real World Behaviors from Virtual World Data
• Publisher: Springer
• Publication Date: 2016
• Language: English
• ISBN 10: 3319348493
• ISBN 13: 9783319348490
• Binding: Soft cover
• Condition: As New

About this title

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.

From the Back Cover

This 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.

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.