Recent work in deduplication has shown that collective deduplication of different attribute types can improve performance. But although these techniques cluster the attributes col...
Content Distribution Networks (CDNs) are increasingly being used to disseminate data in today's Internet aiming at reducing the load on the origin server and the traffic on t...
George Pallis, Athena Vakali, Konstantinos Stamos,...
The attribute selection techniques for supervised learning, used in the preprocessing phase to emphasize the most relevant attributes, allow making models of classification simple...
Abstract: The Principal Component Analysis (PCA) is a data dimensionality reduction technique well-suited for processing data from sensor networks. It can be applied to tasks like ...
Cost effective SOC test strongly hinges on parallel, independent test of SOC cores, which can only be ensured through proper core isolation techniques. While a core isolation mech...