Enterprise Financial Audit Modeling Research based on Data Mining

摘要

In the daily audit work, informationization brings huge amounts of business data. Auditors face huge amounts of data, and personnel allocation has no planned way. In order to solve these practical problems, we introduce the data mining technology. Isolated point algorithm based on unit is applied to computer network audit. Boundary cell value of the isolated point algorithm is adjusted. By means of Benford law, we track data, find out abnormal data, and carry out preliminary data filtering. Then the outlier algorithm based on cell is used in calculation, and improve the accuracy and efficiency of finding isolated point. The experiment results show that improved algorithm achieves a good effect.