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审计数据质量评估方法研究 被引量:9

Study on audit data quality assessment methods
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摘要 阐述了数据质量评估在面向数据的计算机辅助审计,特别是联网审计中的重要作用,分析了审计数据质量问题产生的原因。结合审计工作的实际,给出了审计数据质量的评估指标。在此基础上,建立了审计数据质量评估模型,研究了审计数据质量的评估方法。最后以实例介绍了如何评估审计数据质量。为研究联网审计环境下的审计证据获取技术建立了理论基础。 The importance of data quality assessment in data-oriented computer-aid audit,especially in online auditing,is presented.The reasons causing audit data quality problems are analyzed.Aiming at the factual audit work,an audit data quality assessment criterion is given.Then,audit data quality assessment model is established,and the audit data quality assessment methods are researched.Finally,how to detect and assess the audit data quality is introduced by an instance.The theoretic base to research technologies of audit evidence acquisition under online auditing environment is constructed through the work in this paper.
出处 《计算机工程与应用》 CSCD 北大核心 2008年第3期20-23,共4页 Computer Engineering and Applications
基金 国家自然科学基金项目(the National Natural Science Foundation of China under Grant No.70701018) 中国博士后科学基金项目(China Postdoctoral Science Foundation under Grant No.20060390281)
关键词 联网审计 审计数据质量 评估方法 审计证据 online auditing audit data quality assessment method audit evidence
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参考文献16

  • 1Robert L B,Harold E D.Computer-assisted audit tools and techniques:analysis and perspectives[J].Managerial Auditing Journal,2003,18(9):725-731.
  • 2Alexander K,Ephraim F S,Miklos A V.Continuous online auditing:a program of research[J].Journal of Information Systems,1999,13(2):87-103.
  • 3Chen W,Zhang J C,Jiang Y Q.One continuous auditing practice in China:Data-Oriented Online Auditing(DOOA)[C]//Wang W J.The 7th IFIP International Conference on e-Business,e-Services,and e-Society.Boston:Springer,2007:521-528.
  • 4Chen W,Wang H,Zhu W M.Study on data-oriented IT audit used in China[C]//Zhu Qing-sheng.Proceedings of the 11th Joint International Computer Conference.Singapore:World Scientific Publishing,2005:666-669.
  • 5Tayi G K,Ballou D P.Examining data quality[J].Communications of the ACM,1998,41(2):54-57.
  • 6Rahm E,Do H H.Data cleaning:problems and current approaches[J].IEEE Data Engineer Bulletin,2000,23(4):3-13.
  • 7张进,易仁萍,陈伟.计算机审计中电子数据的清理研究[J].审计研究,2004(6):21-25. 被引量:10
  • 8Parent C,Spaccapietra S.Issues and approaches of database integration[J].Communications of the ACM,1998,41 (5):166-178.
  • 9Milo T,Zohar S.Using schema matching to simplify heterogeneous data translation[C]//Gupta A,Shmueli O,Widom J.Proceedings of 24th International Conference on Very Large Databases.New York:Morgan Kaufmann,1998:122-133.
  • 10Aebi D,Perrochon L.Towards improving data quality[C]//Sarda N L.Proceedings of the International Conference on Information Systems and Management of Data,Delhi,1993:273-281.

二级参考文献16

  • 1陈伟,丁秋林.数据清理中编辑距离的应用及Java编程实现[J].电脑与信息技术,2003,11(6):33-35. 被引量:9
  • 2Lee N C.Improving data quality:development and evaluation of error detection methods [Master's Thesis].National Sun Yat-sen University,2002.
  • 3Batista G E,Monard M C.An analysis of four missing data treatment methods for supervised learning.Applied Artificial Intelligence, 2003 ; 17(5-6).
  • 4Rahm E ,Do H H.Data Cleaning:Problems and Current Approaches [J].IEEE Data Engineer Bulletin,2000;23(4):3~13.
  • 5Batista G E A P A,Monard M C.An analysis of four missing data treatment methods for supervised learning [J].Applied Artificial Intelligence, 2003; 17 (5-6): 519~533.
  • 6Grzymala-Busse J W,Hu M.A comparison of several approaches to missing attribute values in data mining[C].In:Ziarko W,Yao Y eds.Proceedings of the Second International Conference on Rough Sets and Current Trends in Computing,Banff:Springer-Verlag Heidelberg,2000: 378~385.
  • 7Lee M L, Ling T W, Low W L. Intelliclean: A knowledge-based intelligent data cleaner [ A]. Proceeding of the 6th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining[C]. Boston: ACM Press, 2000. 290 - 294.
  • 8Rahm E, Do H H. Data cleaning:Problems and current approaches [J]. IEEE Data Engineer Bulletin,2000, 23(4) :3- 13.
  • 9Monge A E. Matching algorithms within a duplicate detection system [J]. IEEE Data Engineer Bulletin,2000,23(4): 14 - 20.
  • 10Bunke H, Jiang X Y, Abegglen K, et al. On the weighted mean of a pair of strings [J ]. Pattern Analysis & Applications,2002,5(5) :23 - 30.

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