Research on Shareholder Association Analysis Based on Apriori Algorithm of Machine Learning

With the progress of Internet technology, the behavior information left by users on the network is increasing. Through the application of data mining technology, we can find the underlying rules between these behaviors and reveal the valuable information they contain, which is of great significance for a deeper understanding of the cross-influence in the market and the potential market trends. This paper selects the classic Apriori algorithm of association rules in data mining, introduces the basic concepts of association rules and Apriori algorithm, and uses Python programming language to analyze the association of shareholders in financial industry. The analysis provides a reference basis for mining the relationship between shareholders in the industry.