We address the problem of rough applicability of rules within the framework of approximation spaces. The graded applicability of a rule for an object of an approximation space, int...
In this paper, we present a missing data imputation method based on one of the most popular techniques in Knowledge Discovery in Databases (KDD), i.e. clustering technique. We comb...
Dan Li, Jitender S. Deogun, William Spaulding, Bil...
Abstract. We introduce an automated multi-spectral MRI segmentation technique based on approximate reducts derived from the data mining paradigm of the theory of rough sets. We uti...
Securely accessing unfamiliar services in public environments using ad hoc wireless networks is challenging. We present a proxy-based approach that uses other existing network cha...
Various implementations are known for the efficient implementation of adders. As opposed to traditional optimization techniques a statistical approach using early termination det...