一种新的抽样方法是把数据挖掘技术中的分类、聚类及离群点挖掘等应用到审计风险管理中去。
A new sampling method is proposed, which USES the latest technologies of database. It applies classification rule mining, clustering rule and outlier mining to the management of Audit Risk.
对统计抽样在审计中的意义进行概述。
This paper summarizes the significance of statistical sampling in audit.
运用属性抽样时，审计师不得不做出很多决定。
An auditor has to make a number of decisions when using attribute sampling.
其中概率论是抽样审计建立的基础，数理统计是具体方法形成的理论基础。
The theory of probability is the foundation upon which sample auditing is established and numerical statistics is the theoretical foundation upon which concrete methods come into being.
新抽样方法的使用不仅减轻审计人员的负担，而且可以提高审计风险管理的质量。
This new sampling method not only alleviates Auditor's work, but improves the management quality of Audit Risk.
审计工作包括，在抽样基础上，核定财务报表中支持财务金额和披露的证据。
An audit includes examining, on a test basis, evidence supporting the amounts and disclosures in the financial statements.
一种新的抽样方法是把数据挖掘技术中的分类、聚类及离群点挖掘等应用到审计风险管理中去。
It applies classification rule mining, clustering rule and outlier mining to the management of Audit Risk.
一种新的抽样方法是把数据挖掘技术中的分类、聚类及离群点挖掘等应用到审计风险管理中去。
It applies classification rule mining, clustering rule and outlier mining to the management of Audit Risk.
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