Predicting Real World Behaviors from Virtual World Data

Srivastava Jaideep Shen Cuihua Ahmad Muhammad Aurangzeb

ISBN 10: 3319071416 / ISBN 13: 9783319071411

Editore: Springer, 2014

Riguardo questo articolo

PRINT ON DEMAND pp. 134. Codice articolo 18142276423

Dati bibliografici

Titolo: Predicting Real World Behaviors from Virtual...

Casa editrice: Springer

Data di pubblicazione: 2014

Legatura: Rilegato

Condizione: New

Descrizione articolo

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.

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.