Predicting Real World Behaviors from Virtual World Data

Muhammad Aurangzeb Ahmad

ISBN 10: 3319071416 / ISBN 13: 9783319071411

Published by Springer International Publishing, Springer International Publishing Aug 2014, 2014

About this Item

Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 132 pp. Englisch.

Seller Inventory # 9783319071411

Bibliographic Details

• Title: Predicting Real World Behaviors from Virtual World Data
• Publisher: Springer International Publishing, Springer International Publishing Aug 2014
• Publication Date: 2014
• Language: English
• ISBN 10: 3319071416
• ISBN 13: 9783319071411
• Binding: Buch
• Condition: Neu

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.