Using data mining for mobile communication clustering and characterization

Abstract

Nowadays most telecommunication companies use data mining algorithms to analyze and profile their customers based on their communication behaviour. However, similar analysis can be elaborated on call data available to any organization that use any type of communication technologies (e.g. mobile, PBX, VoIP, teleconference). Therefore, in this paper we investigate how data mining algorithms can be used to characterize employers' communication patterns and their influence on business related activities.