Enhanced mining association rule algorithm with reduced time & space complexity

In this paper, we have proposed a technique to improve the performance of existing mining association rule algorithm which significantly reduces the time and space complexity of independent of datasets. There are many data mining algorithms for finding association rules our contribution can be used in almost all of the algorithms independent of its variety. In this paper we are concentrating more on Apriori algorithm which is a type of candidate generation algorithm also a fundamental block of all the mining algorithms, rectifying its major limitation of consuming ample amount of time in generating the candidates.