Increased concern about bioterrorism and emerging diseases is driving the development of systems for early epidemic detection. These systems have different requirements than traditional public health monitoring systems. They typically deal with larger and more diverse data sets and must use a large variety of analysis techniques to perform real-time tracking of multiple syndromes. Operationally...

an alternative for decreasing risk for knowledge workers is effective & optimized work break.major performance criteria in r&d; based organization is successful projects. selection of opproporiate members can be a most effect on the projects achievement. but as the selection of r&d; special members lead to decrease of risk, repeatative participation of this people in the same project lead to kn...

The aim of this work is to present heuristic algorithms in order to determine possible inconsistences of a knowledge base system (KBS). These algorithms will be based on the measure of an associated probability to the set of P complex formulations (set of single logic propositions))3]. Results will be assessed and further remarks concerning the valuation of the KBS will be considered.

Abstract The commodity data in the shopping system contains a wealth of feature information, and different commodities are related by these features. Traditional collaborative filtering algorithms represent structured way, but they have issues such as low similarity calculation accuracy, poor recommendation effect, unfriendly results. algorithm based on knowledge graph put forward this paper in...