An Efficient Approach of Association Rule Mining

In Data mining, Association rules are used to find the relationship among the correlated products. Association rules helps in increasing the productivity, growth, sales of the products. Finding interesting Association rule from large dataset is a major problem. The objective of this paper is to find the frequent items and their Association rules from large dataset by processing the data separately and combining the results later, which can find more interesting relationships.