A cascade model is a rule induction methodology using levelwise expansion of an itemset lattice, where the explanatory power of a rule set and its constituent rules are quantitativ...
In this paper, a new hybrid adaptation model for cancer diagnosis has been developed. It combines transformational and hierarchical adaptation techniques with artificial neural ne...
Grounded on both social cognitive theory and expectation-disconfirmation theory (EDT), this study aims to investigate how individuals’ continuance intention of knowledge creatio...
We construct a formal framework for investigating epistemic and temporal notions in the context of distributed quantum systems. While we rely on structures developed in [DDKP05], w...
1 A knowledge acquisition process that has been implemented by a virtual team for the development of a knowledge based early warning system in Material Recovery Facilities (MRFs) o...
Ioannis M. Dokas, Konstantinos Kitis, Christos Dod...