Abstract— Recently we proposed algorithms for concurrent execution on multiple clusters [9]. In this case, data partitioning is done at two levels; first, the data is distribute...
Chen Yu, Dan C. Marinescu, Howard Jay Siegel, John...
— This paper demonstrates the automatic creation of a web service that chains together existing web services to achieve a particular goal. The generated service implements the ne...
Danny Gagne, Marwan Sabbouh, Scott R. Bennett, Sus...
This paper explores the role of data analysis methods to support system-level designers in characterising the performance of embedded applications. In particular, we address the p...
The KDD process aims at the discovery and extraction of “useful” knowledge (such as interesting patterns, classification, rules etc) from large data repositories. A widely rec...
This paper describes the realization of a parallel version of the k/h-means clustering algorithm. This is one of the basic algorithms used in a wide range of data mining tasks. We ...