National Journal of System and Information Technology

Roohana Parabia , Paresh Virparia , Sanjay Buch

Abstract

Telecommunication companies generate a tremendous amount of data. These data include call detail data, which describes the calls that traverse the telecommunication networks, network data, which describes the state of the hardware and software components in the network, and customer data, which describes the telecommunication customers. There are several applications where telecommunication data mining can be used to uncover useful information buried within these data sets. The primary applications are, to identify telecommunication fraud, to improve marketing effectiveness, and to identify network faults. The new emerging telecom data mining applications are industry specific like bank marketing system, city planning system, census data management system, etc. In this paper we have presented a Telecommunication Data warehouse Model to discover knowledge regarding mobility patterns and traffic density in the cellular network for the prediction of road demand that can be helpful to the city planners to make effective decisions using cellular network usage data.

Keywords

Data Warehouse, Road Traffic Management, Telecommunications

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