TY - CONF T1 - Predicting Calls: New Service for an Intelligent Phone T2 - 10th IFIP/IEEE International Conference on Management of Multimedia and Mobile Networks and Services, MMNS 2007 Y1 - 2007 A1 - Phithakkitnukoon, Santi A1 - Ram Dantu KW - Arrival time KW - behavior KW - call matrix KW - Callee KW - Caller KW - Communications KW - Incoming calls KW - Inter-arrival time KW - Inter-arrival/departure time KW - Kernel density estimation KW - Outgoing calls KW - Probability density function (pdf) KW - Receiving call probability KW - Reciprocity AB -

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%.

JF - 10th IFIP/IEEE International Conference on Management of Multimedia and Mobile Networks and Services, MMNS 2007 CY - San José, USA ER -