During the development of car engines, regression models that are based on machine learning techniques are increasingly important for tasks which require a prediction of results i...
Discovering association rules that identify relationships among sets of items is an important problem in data mining. Finding frequent item sets is computationally the most expens...
In this paper, we describe a technique for representing and displaying high dynamic range image (HDRI) as a texture map in VRML structure. To do this, we designed and implemented e...
—Several performance analysis tools support hybrid applications. Most originated as MPI profiling or tracing tools and OpenMP capabilities were added to extend the performance a...
Sampling-based methods have previously been proposed for the problem of finding interesting associations in data, even for low-support items. While these methods do not guarantee ...