We propose an approach for extending domain knowledge represented in DL ontology by using knowledge extraction methods on ontology assertions. Concept and role assertions are extra...
Mining evolving data streams for concept drifts has gained importance in applications like customer behavior analysis, network intrusion detection, credit card fraud detection. Se...
In order to achieve optimal efficiency in a learning process, individual learner needs his/her own personalized assistance. For a web-based open and dynamic learning environment, ...
Abstract— We propose in this paper a generalization of percolation processes in Z2 using the pretopology theory. We formalize the notion of neighborhood by extending it to the co...
Optical systems are becoming increasingly important as they tend to resolve many bottlenecks in the present age communications and electronics. Some common examples include their u...