Detecting impending failure of hard disks is an important prediction task which might help computer systems to prevent loss of data and performance degradation. Currently most of t...
In contrast to traditional machine learning algorithms, where all data are available in batch mode, the new paradigm of streaming data poses additional difficulties, since data sam...
Supporting self-management behaviour by means of component-based architectural solutions has been the focus of many current research projects. In such a context, handling unantici...
recently, mobile agents have been used to solve many problems in wireless sensor networks. Agents are usually transferred from a node to another to aggregate the sensed data and si...
Machine learning algorithms in various forms are now increasingly being used on a variety of portable devices, starting from cell phones to PDAs. They often form a part of standard...