孤立点数据挖掘技术在审计信息化中的应用研究

Application of auditing Informationization with the Outlier Data Mining Technology

孤立点分析技术是数据挖掘的重要内容之一,可广泛应用到电信、信用卡欺骗检测、贷款审批、客户分类、气象预报和网络入侵检测等领域。在审计工作中,也可采用孤立点检测算法对审计数据进行判断和检测,帮助审计人员及时发现隐藏的审计线索,提高审计效率,孤立点数据挖掘技术比发现规律性的其他挖掘技术具有更好的现实应用价值。

Outlier analysis technology is an important problem in data mining, which can be widely applied to telecommunications, credit card fraud detection, loan approval, customer classification, weather forecast and network intrusion detection and other fields. In the audit work, outlier detection algorithm can also be wed for audit data judgment and detecting the abnormal presence, helping auditors find hidden audit trail and improve audit efficiency. Outlier data mining technology has better practical value than discovering regularities in the other mining technology.