Predicting Real World Behaviors from Virtual World Data - Rilegato

Rilegato

ISBN 10: 3319071416 ISBN 13: 9783319071411

Casa editrice: Springer-Nature New York Inc, 2014

Riassunto

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.

Su questo libro

Dalla quarta di copertina

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.

Dettagli dell'edizione

• Editore: Springer-Nature New York Inc
• Data di pubblicazione: 2014
• Lingua: Inglese
• ISBN 10: 3319071416
• ISBN 13: 9783319071411
• Rilegatura: Copertina rigida
• Numero di pagine: 118
• Redattore: Ahmad Muhammad Aurangzeb, Shen Cuihua, Srivastava Jaideep, Contractor Noshir
• Contatto del produttore: non disponibile
• Persona responsabile: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Germania