Enhanced BitApriori algorithm: An intelligent approach for mining frequent itemset

Abstract

Data mining is the field in which the most of the new researches and discoveries are being made and in it frequent mining of itemsets is the very critical and preliminary task. Apriori is the algorithm which is mostly used for this very purpose. Apriori also suffers from some problems such as finding the support count, which is a very time consuming procedure. To overcome the above stated problem BitApriori algorithm was devised. Though this problem was eradicated, but this algorithm suffers from a memory scarcity problem and to overcome this problem in the paper here a new Enhanced BitApriori algorithm is devised which performs better than its predecessors through the experimental results.