Title :
Using data mining for mobile communication clustering and characterization
Author :
Bascacov, A. ; Cernazanu, Cosmin ; Marcu, Marius
Author_Institution :
Lasting Software, Timisoara, Romania
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;
Conference_Titel :
Applied Computational Intelligence and Informatics (SACI), 2013 IEEE 8th International Symposium on
Conference_Location :
Timisoara
Print_ISBN :
978-1-4673-6397-6
DOI :
10.1109/SACI.2013.6609004
