Author(s)

P. Lakatos, B. Egri & Z. Cseh

Abstract

Independent components in telecommunication call-detail records P. Lakatos, B. Egri & Z. Cseh DSS Consulting Ltd., Hungary Abstract Although Independent Component Analysis (ICA) has gained a recognized place among neural network models [I], data mining applications have been limited, especially for marketing purposes. In our paper we will present a unique ICA application, in which ICA outperforms other data mining and statistical methods. We've applied ICA to the call-detail records of a fixed-line telecommunication company's customers. Telecommunication companies can observe the duration, time and tariff zone of the incoming/outgoing calls, which, in this context, represent the mixed input signals. These records are generated as a result of a (supposedly linear) mixture of independent signals representing the telecommunication needs of a family, like chatting with friends, business calls or Internet usage. The aim was to disclose these underlying independent components. These components can b

Keywords