Cardiovascular diseases are the leading causes on mortality in the world. Consequently, tools and methods providing useful and applicable insights into their assessment play a crucial role in the prediction and managements of specific heart conditions. In this article, we introduce a method...

Producing the Linked Open Data (LOD) is getting potential to publish high-quality interlinked data. Publishing such data facilitates intelligent searching from the Web of data. In the context of scientific publications, data about millions of scientific documents published by hundreds and...

Current economic context marked by economic crisis, has the effect of reducing costs and greater control over costs. It is a problem faced by all managers and a solution to anti-crisis measures such as using data mining techniques. Data mining or "knowledge discovery in large databases" is a set...

This research study employed a machine learning algorithm on actual patient data to extract decision making rules that can be used to diagnose chronic kidney disease. The patient data set entails a number of health-related attributes or indicators and contains 250 patients positive for chronic...

Due to the rapid technologic change, we see the role of manufacturing workers continuously changing: the increasing automation of manufacturing processes has reduced the amount of manual work, whereas the increasing complexity of manufacturing systems requires workers to build-up broader and...