Big Data Association Rule Algorithm in Intelligent Financial Accounting

With the rapid development of big data, cloud computing and other technologies, big data has penetrated into all areas of society. Financial accounting plays a pivotal role in the business activities of enterprises. It realizes the processing of financial information and increases the economic benefits of enterprises. This article studied the association rules algorithm based on big data. Through the analysis and mining of massive data, this article used association rules to mine the implicit association relationship, so as to improve the intelligence of financial accounting in China. Through the research of this article, enterprises can understand the internal relations of data better and find out the possible laws and abnormal phenomena, with a maximum support rate of 60% and a maximum confidence rate of 54.9%. The research in this article is of great significance for improving the efficiency and accuracy of financial accounting, and provides new ideas and methods for the intelligent development of the accounting field.