An effective educational program warrants the inclusion of an innovative construction that
enhances the higher education efficacy in such a way that accelerates the achievement of …

The discovery of hidden patterns in educational data is a promising research in Educational
Data Mining. The students achievement rate were reduced continuously is the major …

Educationalists have formulated a taxonomy called Bloom's taxonomy. It states that during
education a student progresses not only in knowledge (cognitive), but also in emotions …

Educational Data mining is a varied subject and unwary research field which are supposed
taken care of the tremendous data which are arising in the educational field. The exploring …

Abstract The Knowledge Discovery and Data Mining (KDDM) is a growing field of study
argued to be very useful in discovering knowledge hidden in large datasets. KDDM …

Educational Data Mining is an emerging domain in the field of data mining and has been
found of utmost importance because of its significance in predicting student dropout or the …

Many of the students have completed their graduation, but they are not sure of their future
course that will lead them to a good career as a professional. They are mystified or do not …

Data-driven decision support approaches have been increasingly employed in recent years
to unveil purposeful task-oriented patterns from accumulated students' academic records …

The quality of education directly influences a nation's financial system and various
industries, highlighting the importance of assessing and enhancing student performance in …

The practice that examines huge datasets to find new information, new trends, and hidden
patterns is called data mining. A decision tree is made by analyzing these patterns which …