Data clustering is a popular approach for automatically finding classes, concepts, or groups of patterns. In practice this discovery process should avoid redundancies with existi...
Abstract—Detecting and localizing performance faults is crucial for operating large enterprise data centers. This problem is relatively straightforward to solve if each entity (a...
Vaishali P. Sadaphal, Maitreya Natu, Harrick M. Vi...
Abstract. Data Mining is often required to be performed among a number of groups of sites, where the precondition is that no privacy of any site should be leaked out to other sites...
Three pointer-based parallel join algorithms are presented and analyzed for environments in which secondary storage is made transparent to the programmer through memory mapping. B...
Peter A. Buhr, Anil K. Goel, Naomi Nishimura, Prab...
— We use statistical estimates of the entropy rate of spike train data in order to make inferences about the underlying structure of the spike train itself. We first examine a n...