Predicting Real World Behaviors from Virtual World Data Predicting Real World Behaviors from Virtual World Data
Springer Proceedings in Complexity

Predicting Real World Behaviors from Virtual World Data

    • 42,99 €
    • 42,99 €

Description de l’éditeur

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.

GENRE
Informatique et Internet
SORTIE
2014
24 juillet
LANGUE
EN
Anglais
LONGUEUR
132
Pages
ÉDITIONS
Springer International Publishing
TAILLE
2,3
Mo

Plus de livres par Muhammad Aurangzeb Ahmad, Cuihua Shen, Jaideep Srivastava & Noshir Contractor

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