Analysis of Student Performance by using Data Mining Concept

Data mining methodology has a tremendous contribution for researchers to extract the hidden knowledge and information which have been inherited in the data used by researchers. Its related with developing and improving methods for discovering knowledge from data that extract from educational domain. This paper represents to categorize the students into grade order in all their education studies and it helps to improve ‘students’ academic performance. In this format of paper we used educational data mining techniques to improve ‘students’ performance, and detects the problem of low academic performance of students. For evaluation of better performance of students we use some interesting techniques like association rules, clustering, classification and outlier detection. DOI: 10.17762/ijritcc2321-8169.15059