Abstract

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IMPROVED FUZZY ASSOCIATION RULES FOR LEARNING ACHIEVEMENT MINING

Mimanshu Gupta, C.P.Singh, Rohit Miri


The fuzzy logic and Data mining is very useful technology for finding the associate rules between the two variables or amongst variable. Our work is to find out the association of variables of diabetics patient by proposed novel algorithm. We separated the data for male and female so that we will get the association rules separately for diabetic’s patient. The result will alert the normal person that causes the diabetic’s. The proposed algorithm is divided in two parts. First part is calculated by fuzzy techniques and second part in mining association rule. The proposed algorithm is useful for prediction and association result. The proposed algorithm finds the fuzzy mining association rule in very easy way.