Association Rule Based Pattern Analysis with Liver and Diabetes Dataset

Abstract

Association rule mining is important tool for data analysis. The associations rule mining technique finds the relation between two different attributes on the basis of support and confidence value. The association rule mining technique gives two algorithms for analysis of data, one is memory based and the other is memory independent. The memory based algorithm is well known algorithm called apriori algorithm and memory impendent algorithm is called FP-growth algorithm. The rough set based rule generation technique is a new approach for classification.