Processing and extracting meaningful knowledge from count data is an important problem in data mining. The volume of data is increasing dramatically as the data is generated by da...
Context-aware pervasive-computing applications require continuous monitoring of their physical and computational environment to make appropriate adaptation decisions in time. The ...
Abstract— Emergent wide-area distributed systems like computational grids present opportunities for large scientific applications. On these systems, communication mechanisms hav...
Damia is a lightweight enterprise data integration service where line of business users can create and catalog high value data feeds for consumption by situational applications. D...
Mehmet Altinel, Paul Brown, Susan Cline, Rajesh Ka...
Data-Pipelining is a widely used model to represent streaming applications. Incremental decomposition and optimization of a data-pipelining application onto a multi-processor plat...
Bo-Cheng Charles Lai, Patrick Schaumont, Wei Qin, ...