Intelligent Analysis and Processing Technology of Financial Big Data Based on Association Rule Mining Algorithm

Abstract

With the development of Internet technology, more and more companies begin to obtain the financial information they need through data mining and other methods, and conduct financial risk research through data analysis. This article starts with association rules, and studies the intelligent analysis and processing technology of financial data. The purpose is to predict and judge financial risks through association rule algorithms and further improve the financial system. This article mainly uses data method, experiment method and comparison method to study data processing technology and financial analysis method, design the system and perform performance test on it. The test result shows that when the number of transactions is 80, the execution time of the system is 500s. As the number of transactions increases, the execution time becomes longer. Under association rules, parallel algorithms have more advantages than serial algorithms.