In this work we propose a novel approach to anomaly detection in streaming communication data. We first build a stochastic model for the system based on temporal communication pa...
Effective privacy management requires that mobile systems‟ users be able to make informed privacy decisions as their experience and knowledge of a system progresses. Prior work ...
Lukasz Jedrzejczyk, Blaine A. Price, Arosha K. Ban...
Many special purpose algorithms exist for extracting information from streaming data. Constraints are imposed on the total memory and on the average processing time per data item....
Clustering is an important function in data mining. Its typical application includes the analysis of consumer's materials. Adaptive resonance theory network (ART) is very pop...
The simulations used in the field of high energy physics are compute intensive and exhibit a high level of data parallelism. These features make such simulations ideal candidates ...
Laura Gilbert, Jeff Tseng, Rhys Newman, Saeed Iqba...