We propose a generic architecture to facilitate the systematic design of autonomous, adaptive and safe applications. We specify generic modules including a trustworthiness enforcem...
We address the problem of answering conjunctive queries over knowledge bases, specified by sets of first-order sentences called tuple-generating dependencies (TGDs). This problem i...
In business processes, knowledge-intensive tasks are ones in which the people performing such tasks are involved in a fair degree of uncertainty. These people are required to appl...
In this paper, we present a case study for the visualisation and analysis of large and complex temporal multivariate networks derived from the Internet Movie DataBase (IMDB). Our ...
Adel Ahmed, Vladimir Batagelj, Xiaoyan Fu, Seok-He...
Abstract-- Associative classification is a new classification approach integrating association mining and classification. It becomes a significant tool for knowledge discovery and ...