Abstract E-learning systems become more popular than it has ever been. However the popularity of e-learning systems, still suffer from some problems related to the completion rate of online courses […]
An Ontological Model to Predict Dropout Students Using Machine Learning Techniques Read More »
ABSTRACT The aim of this study is to measures the student’s perception of using mobile for learning during COVID-19 in Bangladesh especially at the university student’s perspective. During the COVID-19
Abstract Data analytics is used to obtain useful insights from small or large data set to conclude some useful information and also used for future recommendation and decision making. Predictive
PDD: Predictive Diabetes Diagnosis using Data mining Algorithms Read More »
Abstract This paper further enhances the techniques and chronological methods in order to perform the corresponding manipulation and further prediction analysis. We have acquired a real-time dataset based on the
Analyzing Product Usage Based on Twitter Users Based on Data mining Process Read More »
