基于关联规则挖掘的企业数字审计管理系统设计  

Design of enterprise digital audit management system based on association rule mining

作　　者：康鹏 戴艳 杨新敏 李磊 KANG Peng;DAI Yan;YANG Xin-min;LI Lei(State Grid Gansu Province Electric Power Company Repair Company,Lanzhou 730070,China)

机构地区：[1]国网甘肃省电力公司检修公司,兰州730070

出　　处：《信息技术》2023年第5期159-164,共6页Information Technology

摘　　要：为全面掌握企业投资项目的总体情况,并进一步加强对企业投资项目的审计监督与管理,文中基于关联规则挖掘过程设计了一种企业数字审计管理系统。首先利用BP神经网络调节项目审计立项模块与项目审计档案管理模块之间的及时性连接关系,分析企业数字信息特征,并利用BBO算法构建待管理的数字信息时间序列,然后通过转换审计数据的方式清理各项已存储的数字信息,再对所有企业审计数据进行离散化处理,从而实现对系统软件执行环境的搭建。联合相关硬件设备结构,完成对企业数字审计管理系统的整体设计。In order to fully grasp the overall situation of enterprise investment projects and further strengthen the audit supervision and management of enterprise investment projects,an enterprise digital audit management system is designed based on the association rule mining process.Firstly,the BP neural network is used to adjust the timely connection relationship between the project audit initiation module and the project audit archives management module,the characteristics of enterprise digital informationis analyzed,and the BBO algorithm is used to construct the time series of digital information to be managed.Then,the stored digital information is cleaned up by converting the audit data,and then all enterprise audit data is discretized,so as to build the system software execution environment.Combined with relevant hardware equipment structure,the overall design of enterprise digital audit management system is complete.

关 键 词：关联规则 数字审计 BP神经网络 数据转换 数据离散化 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]