Prior research indicates that students and faculty shared a common perception of the skills necessary for success in the degree programs.Based on the results extracted from descriptive and predictive data mining, empirical investigation using logistic and neural networks reveal that factors such as ...
Descriptive vs. Predictive, Prescriptive, and Diagnostic Analytics Descriptive analytics provides important information in an easy-to-grasp format. As such, there will always be a need for this type of analysis. However, there may be more emphasis on newer fields of analytics, including predictive,...
Our study was not designed to ascertain prognostic predictive values. The ability of clinical, laboratory, and other features to distinguish MERS-CoV from other respiratory-tract infections will need appropriately controlled studies with large numbers of patients. In the SARS epidemic, all laboratory va...
Based on the results extracted from descriptive and predictive data mining, empirical investigation using logistic and neural networks reveal that factors such as family income, race and language skill have significant association with academic achievement.Fadzilah Siraj...
This overview presents most important predictive and descriptive data mining techniques by which most of the mining task is performed. This predictive and descriptive data mining task includes classification, clustering, regression, summarization, and some other techniques all of which are briefly describe...
This research is aimed to discover the relationship between cardiovascular disease and related factors through a Knowledge Discovery in Databases (KDD) by looping a variety of data mining techniques with both descriptive and predictive data mining. These techniques are the k-Mean Clustering, the ...
Descriptive And Predictive Data Mining Techniques To Improve Student Academics And EmployabilityDhanalaxmi, B.Turkish Online Journal of Qualitative Inquiry
The development of distributed data-mining techniques is therefore necessary to extend the success of centralized data-mining techniques to the distributed domain.; We present our research in the area of distributed data-mining. Specifically, we introduce a light-weight technique, in which predictive ...
Using Combined Descriptive and Predictive Methods of Data Mining for Coronary Artery Disease Prediction: a Case Study Approachdoi:10.22044/JADM.2017.4992.1599M. ShamsollahiA. BadieeM. GhazanfariShahrood University of Technology