The enormous growth of the world wide web in recent years has made it important to perform resource discovery e ciently. Consequently, several new ideas have been proposed in rece...
In this paper, we exploit the problem of inferring images’ semantic concepts from community-contributed images and their associated noisy tags. To infer the concepts more accura...
Gene network reconstruction is a multidisciplinary research area involving data mining, machine learning, statistics, ontologies and others. Reconstructed gene network allows us t...
We propose a hierarchy-driven approach to facilitate student learning and foster a deeper understanding of the importance of attack patterns in computer, network, and software sec...
Experimental performance studies on computer systems, including Grids, require deep understandings on their workload characteristics. The need arises from two important and closel...