Dotnet IEEE Final Year Projects 2012 Scalable Learning of Collective Behavior in Data Mining

Dotnet IEEE Final Year Projects 2012 Scalable Learning of Collective Behavior in Data Mining

Scalable Learning of Collective Behavior

Abstract:

This study of collective behavior is to understand how individuals behave in a social networking environment. Aim to learn to predict collective behavior in social media. In particular, given information about some individuals, how can we infer the behavior of unobserved individuals in the same network? A social-dimension-based approach has been shown effective in addressing the heterogeneity of connections presented in social media.

download:Dotnet IEEE Final Year Projects 2012; Dotnet IEEE Final Year Projects 2012 Scalable Learning of Collective Behavior in Data Mining; IEEE Final Year Projects 2012; Scalable Learning of Collective Behavior; Scalable Learning of Collective Behavior in Data Mining

Comments are closed.