In this paper, evaluation on 7 RDF storage systems with respect to the large data applications is presented. By using the toolkit LUBM-R, 4 different scales of RDF datasets to pro...
Feature selection is used to improve performance of learning algorithms by finding a minimal subset of relevant features. Since the process of feature selection is computationally ...
Mark Last, Abraham Kandel, Oded Maimon, Eugene Ebe...
Abstract This article gives insights into the possible neuronal processes involved in visual discrimination. We study the performance of a spiking network of Integrate-and-Fire (IF...
In the context of multidimensional databases implemented on relational DBMSs through star schemes, the most effective technique to enhance performances consists of materializing re...
Enterprises rely on decision support systems to influence critical business choices. At the same time, IT-related power costs are growing and are a key concern for enterprise exe...
Justin Meza, Mehul A. Shah, Parthasarathy Ranganat...