“Importance of Data Mining in Higher Education System”

Abstract

Data Mining is used to extract meaningful information and to developed significant relationship among variables stored in large data warehouse [1]. “Educational data mining is an emerging discipline concern with developing methods for exploring the unique type of data that come from educational setting and using those methods to better understand students and the setting which they learn in” as defined by the educational data mining community [2] . Education is an essential element for the progress of country. Mining in educational environment is called educational data mining. It is concerned with developing new methods to discover knowledge from educational database [3]. Educational data mining provides a set of techniques, which can help the educational system to overcome these issues [4]. The objective of this research is to introduce educational data mining by describing step by step process using technique of K-means (Clustering Methods). The student evaluation factors like mid-term and final exam assignment are studied. This study will help the teacher to reduced drop-out ratio to a significant level and improve the performance of students.