@inbook {93, title = {Smart Phone: Predicting the Next Call}, booktitle = {Behavior Computing: Modeling, Analysis, Mining and Decision}, year = {2012}, pages = {317{\textendash}325}, publisher = {Springer London}, organization = {Springer London}, address = {London}, abstract = {

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{\textquoteright} 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.

}, isbn = {978-1-4471-2969-1}, doi = {10.1007/978-1-4471-2969-1_20}, url = {http://dx.doi.org/10.1007/978-1-4471-2969-1_20}, author = {Zhang, Huiqi and Ram Dantu}, editor = {Cao, Longbing and Yu, Philip} }