The classical Apriori algorithm takes the whole database as the solution space, and needs to scan the database frequently, which makes the efficiency of the whole algorithm decrease. Because the amount of data in the database is increasing every day, and each record has hundreds of attributes, plus some Because of the Partition of continuous attributes, the data of itemset is very large. However, although the association rule mining algorithm has made some achievements, the amount of data is increasing, which leads to some shortcomings and deficiencies of the existing association rule mining algorithm, which seriously affects the quality of association rule mining. In recent years, although some research results have been achieved, it still has certain research value. Association rule analysis is the most active branch, especially worthy of in-depth study. Data mining, in short, is to use a variety of specific algorithms and methods to mine valuable information from the data. In order to get hidden and useful information from massive data, data mining technology emerges as the times require. With the progress of science and technology and the continuous update of Internet technology, a large number of data have been produced in various fields of society.
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