Classification of customer call data in the presence of concept drift and noise

Abstract

Many of today’s real world domains require online classificationtasks in very demanding situations. This work presents the results of applyingthe CD3 algorithm to telecommunications call data. CD3 enables the detectionof concept drift in the presence of noise within real time data. The applicationdetects the drift using a TSAR methodology and applies a purging mechanism asa corrective action. The main focus of this work is to identify from customerfiles and call records if the profile of customers registering for a ‘friends andfamily’ service is changing over a period of time. We will begin with a reviewof the CD3 application and the presentation of the data. This will conclude withexperimental results.