This paper studies smart financial decision support from the perspective of big data, which has both theoretical and practical significance. This paper firstly adopts the Apriori algorithm to calculate the degree of association between financial projects and financial data business, and completes data mining and analysis; This puts forward higher requirements for higher education in our country. The author mainly analyzes the integration of civil engineering majors into international education under the trend of internationalization of higher education. Starting with the main bottlenecks faced by enterprises' financial management, this paper introduces the emerging enterprise financial management solutions and development directions driven by the background of big data.
@artical{l11122022ijsea11121029,
Title = "Big Data Intelligent Analysis Algorithm Assisted Intelligent Financial System and Integrated Platform Realization of International Education Path",
Journal ="International Journal of Science and Engineering Applications (IJSEA)",
Volume = "11",
Issue ="12",
Pages ="340 - 342",
Year = "2022",
Authors ="Li Kaodui"}