An Improved Apriori-Based Algorithm for Association Rule Mining
Association rule mining is an important part of the data mining process. It aims at finding some hidden information or relationships among the attributes of the database. Various algorithms have been proposed for this task. But there are certain limitations of each. In this paper, one of the most widely applicable algorithms i.e. Apriori algorithms has been considered. Firstly, the basic working of the algorithm has been given along with its limitations. Then the improvement in the algorithm has been suggested.