Enterprise Financial Audit Modeling Research based on Data Mining

被引：0
作者：
Guang, Zhao [1 ]
Wang, Ying [1 ]
Wang, Qin [1 ]
机构：
[1] Xian Siyuan Univ, Xian 710038, Shaanxi, Peoples R China
来源：
2016 INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION, BIG DATA & SMART CITY (ICITBS) | 2017年
关键词：
financial audit; data mining; accuracy; isolated point; OUTLIER DETECTION;
D O I：
10.1109/ICITBS.2016.77
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
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.
引用
收藏
页码：497 / 500
页数：4
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