%0 Book Section %B Behavior Computing: Modeling, Analysis, Mining and Decision %D 2012 %T Smart Phone: Predicting the Next Call %A Zhang, Huiqi %A Ram Dantu %E Cao, Longbing %E Yu, Philip %X

Prediction of incoming calls can be useful in many applications such as social networks, (personal, business) calendar and avoiding voice spam. Predicting incoming calls using just the context is a challenging task. We believe that this is a new area of research in context-aware ambient intelligence. In this paper, we propose a call prediction scheme and investigate prediction based on callers’ behavior and history. We present Holt-Winters method to predict calls from frequent and periodic callers. The Holt-Winters method shows high accuracy. Prediction and efficient scheduling of calls can improve the security, productivity and ultimately the quality of life.

%B Behavior Computing: Modeling, Analysis, Mining and Decision %I Springer London %C London %P 317–325 %@ 978-1-4471-2969-1 %G eng %U http://dx.doi.org/10.1007/978-1-4471-2969-1_20 %R 10.1007/978-1-4471-2969-1_20