Predicting Calls --- New Service for an Intelligent Phone

Authors:
Santi Phithakkitnukoon;Ram Dantu
Affiliations:
Network Security Laboratory, Department of Computer Science and Engineering, University of North Texas, Denton, TX 76203, USA;Network Security Laboratory, Department of Computer Science and Engineering, University of North Texas, Denton, TX 76203, USA
Venue:
MMNS '07 Proceedings of the 10th IFIP/IEEE International Conference on Management of Multimedia and Mobile Networks and Services: Real-Time Mobile Multimedia Services
Year:
2008

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Abstract

Predicting future calls can be the next advanced feature of the intelligent phone as the phone service providers are looking to offer new services to their customers. Call prediction can be useful to many applications such as planning daily schedule and attending unwanted communications (e.g. voice spam). Predicting calls is a very challenging task. We believe that this is a new area of research. In this paper, we propose a Call Predictor (CP) that computes the probability of receiving calls and makes call prediction based on caller's behavior and reciprocity. The proposed call predictor is tested with the actual call logs. The experimental results show that the call predictor performs reasonably well with false positive rate of 2.4416%, false negative rate of 2.9191%, and error rate of 5.3606%.