A Critical Review on Educational Data Mining Segment: A New Perspective

Abstract

Nowadays, more attention is taken in data mining for research in various fields like educational sector, disease prediction, customer behavior, fraud detection, etc. Data mining techniques are applied to the huge amount of data generated by different domains to predict the hidden patterns and managerial decisions. Today, more attention is given on the application of data mining techniques to the analyzing of educational data, which is also known as educational data mining. The primary goal of educational data mining is to provide quality education to students by predicting the performance of students and to find the drop-out ratio. Data mining considered as stepping stone to the procedure of information detection in databases. Here, an analysis of the obtainable literature on data mining is provided. The knowledge of data mining as well as its an assortment of methodologies is summarized. Some applications, tasks as well as issues associated with it have also been illustrated.