IJCTT-International Journal of Computer Trends and Technology
Frequent pattern mining is an active field in data mining research in last decade. Many literatures have been emerged and tremendous programs have been made. This paper has been designed to find out the best mining method for the patient with sugar, heart diseases by defining certain conditions. Recent analysis has delved into these techniques exploitation approaches like hybrid data processing algorithms. This paper proposes a rule based model to check the accuracies of applying rules to the individual records. This paper also analysis the results generated by Apriori, frequent pattern growth algorithms.