@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 = {<p>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.</p>
},
	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}
}
