Using data mining for mobile communication clustering and characterization

Author

Bascacov, A. ; Cernazanu, Cosmin ; Marcu, Marius

Author_Institution

Lasting Software, Timisoara, Romania

fYear

2013

fDate

23-25 May 2013

Firstpage

41

Lastpage

46

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.

Keywords

data mining; mobile communication; pattern clustering; telecommunication computing; telecommunication industry; call data; communication behaviour; communication technologies; data mining algorithm; employer communication pattern characterization; mobile communication characterization; mobile communication clustering; telecommunication companies; Clustering algorithms; Companies; Data mining; Mobile communication; Telephony;

fLanguage

English

Publisher

ieee

Conference_Titel

Applied Computational Intelligence and Informatics (SACI), 2013 IEEE 8th International Symposium on

Conference_Location

Timisoara

Print_ISBN

978-1-4673-6397-6

Type

conf

DOI

10.1109/SACI.2013.6609004

Filename

6609004