In recent years, there have been some interesting studies on predictive modeling in data streams. However, most such studies assume relatively balanced and stable data streams but...
The Gaussian kernel density estimator is known to have substantial problems for bounded random variables with high density at the boundaries. For i.i.d. data several solutions hav...
RFID data are usually regarded as streaming data that are huge and change frequently because they are gathered continuously by numerous readers. RFID middleware filters the data a...
MoLIC, a modeling language for designing interaction as a metaphor of conversation, was proposed to allow designers to build a blueprint of all interaction that may take place whe...
This paper introduces FARA, a framework that provides abstractions and mechanisms for building integrated adaptation and resource allocation services in complex real-time systems....