Improved Apriori Algorithm Using Hash Technique

Association rule mining techniques have significant drawbacks in the current data mining technology. This study addresses the issue that the Apriori algorithm's mining efficiency is low when it deals with huge databases, and introduces the hash technique as a means to enhance the Apriori algorithm. This paper explains the core idea and the theory of association rules, the fundamentals of Apriori algorithm in depth, and a proposed enhancement method based on a hash technique to address the shortcomings of the Apriori algorithm. This paper shows the reasons behind the inefficiency of Apriori algorithm. After introducing the explanation and workings of the Apriori algorithm in-depth, improvements to the coding scheme and support counting method that are appropriate are proposed. Finally, the hash technique and Apriori algorithm are combined to create association rule mining. The experimental findings demonstrate that the proposed method performs much better than the current methods in terms of mining efficiency and performance.