Research on Data Association Rules Mining Method Based on Improved Apriori Algorithm
Cong Yi
Abstract
With the advent of the era of big data, how to efficiently process massive data has become a hot research direction in the field of computer science. The existing data mining technology mainly uses the association rules mining method. Aiming at the shortcomings of the Apriori algorithm in the classic association rule mining method, this paper proposes an improved Apriori algorithm. This paper describes the processing flow of classic Apriori algorithm, describes the main improvement ideas of improved Apriori algorithm, and then analyzes and evaluates the improved algorithm. The experimental results show that the efficiency of the improved Apriori algorithm is much higher than that of the traditional Apriori algorithm.
Topics & Concepts
Apriori algorithmAssociation rule learningData miningComputer scienceA priori and a posterioriGSP AlgorithmField (mathematics)AlgorithmProcess (computing)Big dataMathematicsOperating systemPure mathematicsEpistemologyPhilosophyData Mining Algorithms and ApplicationsArtificial Intelligence in HealthcareMachine Learning and Data Classification