Mining Association Rules in Student Assessment Data

The objective of the educational institution that is producing good results in their academic exams can be achieved by using the data mining techniques which can be applied to analyze the performance of the students and to impart the quality of education in the educational institutions. Data mining is used to extract meaningful information and to develop relationships among variables stored in large data set. In this paper, Apriori algorithm is used which extracts the set of rules, specific to each class and analyzes the given data to classify the student based on their performance in academics.

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International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
Big Data