Despite the explosive new interest in Distributed Computing, bringing software — particularly legacy software — to parallel platforms remains a daunting task. The Self Distrib...
Bernd Klauer, Frank Eschmann, Ronald Moore, Klaus ...
In this paper, we propose an approach of clustering data in parallel coordinates through interactive local operations. Different from many other methods in which clustering is glo...
The target of machine learning is a predictive model that performs well on unseen data. Often, such a model has multiple intended uses, related to different points in the tradeoff ...
Alan P. Reynolds, David W. Corne, Michael J. Chant...
Abstract. This paper presents a framework that lets a component developer provide a component user with different kinds of information, depending on the specific context and needs....
Alessandro Orso, Mary Jean Harrold, David S. Rosen...
As a result of the changing scope of data management towards the management of highly distributed systems and applications, integration processes have gained in imporuch integrati...