Predicting Real World Behaviors from Virtual World Data

Muhammad Aurangzeb Ahmad

ISBN 10: 3319348493 / ISBN 13: 9783319348490

Published by Berlin Springer International Publishing Springer Sep 2016, 2016

About this Item

This item is printed on demand - it takes 3-4 days longer - 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. 118 pp. Englisch.

Seller Inventory # 9783319348490

Bibliographic Details

• Title: Predicting Real World Behaviors from Virtual World Data
• Publisher: Berlin Springer International Publishing Springer Sep 2016
• Publication Date: 2016
• Language: English
• ISBN 10: 3319348493
• ISBN 13: 9783319348490
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 7D millimeters 235 millimeters width by 155 millimeters height by 7 millimeters depth
• Weight: 212 grams

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.