TY - CHAP T1 - Smart Phone: Predicting the Next Call T2 - Behavior Computing: Modeling, Analysis, Mining and Decision Y1 - 2012 A1 - Zhang, Huiqi A1 - Ram Dantu ED - Cao, Longbing ED - Yu, Philip AB -

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.

JF - Behavior Computing: Modeling, Analysis, Mining and Decision PB - Springer London CY - London SN - 978-1-4471-2969-1 UR - http://dx.doi.org/10.1007/978-1-4471-2969-1_20 ER -