摘要
阐述智能技术在会计审计中的应用现状,包括数据挖掘与分析、自然语言处理、机器学习方法。从提高审计效率和准确性、降低人为错误和欺诈风险、注重隐私和数据安全方面,分析面临的挑战。
This paper expounds the current application status of intelligent technology in accounting and auditing,including data mining and analysis,natural language processing,and machine learning methods.It analyzes the challenges faced in improving audit efficiency and accuracy,reducing the risk of human error and fraud,and emphasizing privacy and data security.
作者
黄铭
HUANG Ming(State Grid Shanghai Urban Power Supply Company,Shanghai 200080,China)
出处
《集成电路应用》
2024年第5期232-233,共2页
Application of IC
关键词
数据挖掘
机器学习
会计审计
智能算法
data mining
machine learning
accounting and auditing
intelligent algorithms
