Application of Data Mining Technology in Management Accounting from Data Flow Perspective

With the continuous development of social economy, enterprises put forward higher requirements for the actual efficiency and practical methods of management accounting. Management accounting work should be combined with the latest modern technology and methods, innovative measures and optimize the work effect. With the rapid development of big data technology, data mining technology has been widely used in various fields. Using data mining technology can achieve accurate and efficient information extraction of massive data. Based on the analysis of the defects and requirements of traditional financial analysis, this paper constructs a data mining financial analysis system. Clustering experiments are carried out on UCR standard data sets, and the results are compared with the existing methods. The results show that the clustering accuracy of the proposed algorithm is higher on high frequency time series data sets.