期刊文献+

审计数据处理实验中的模拟数据生成系统 被引量:5

Analogue Data Creating System in Audit Data Processing Experiment
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摘要 阐述了数据生成系统在计算机审计数据处理中的重要作用,分析了数据生成系统的功能和原理,并用Visual Basic 6.0实现了数据生成系统,论证了数据生成系统在计算机审计数据处理方法中的应用。研究表明,数据生成系统弥补了实际数据的不足,可以生成所需的实验数据,有助于审计数据处理方法的研究。  This paper presents that data creating system is an important method in computer audit data processing,analyzes the function and principle of the system,implements it by using Visual Basic 6.0 tool,and introduces application of it in computer audit data processing.Results show that data creating system avoids the shortages of actual data,and creates the necessary test data,which is helpful to research data processing method.
出处 《计算机工程》 CAS CSCD 北大核心 2007年第19期54-56,共3页 Computer Engineering
基金 国家"863"计划基金资助项目(2003AA1Z2330) 中国博士后科学基金资助项目(20060390281) 江苏省高校自然科学研究计划基金资助项目(05KJB520054) 江苏省博士后科研计划基金资助项目(0502023C)
关键词 审计数据处理 数据生成系统 实验数据 audit data processing data creating system experimental data
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参考文献6

  • 1Chen Wei, Wang Hao, Zhu Wenming. Study on Data-oriented IT Audit Used in China[C]//Proceedings of the 11th Joint International Computer Conference. 2005,666-669.
  • 2Dey D, Sarkar S, De P. A Distance-based Approach to Entity Reconciliation in Heterogeneous Databases[J]. IEEE Transactions on Knowledge and Data Engineering, 2002,14(3): 567-582.
  • 3Chun M, Lam E. Data Reuse The Use of Data Collected in One Online Audit Project for Other Audit Projects[C]//Proc. of the 2nd International Seminar on IT Audit. 2004,95-98.
  • 4陈伟,刘思峰,邱广华.计算机审计中数据处理新方法探讨[J].审计与经济研究,2006,21(1):37-39. 被引量:20
  • 5陈伟,丁秋林,谢强.交互式数据迁移系统及其相似检测效率优化[J].华南理工大学学报(自然科学版),2004,32(2):58-61. 被引量:11
  • 6数据中华黄页[Z].(2005-10).http://www.allchinadata.net.

二级参考文献12

  • 1陈伟,陈耿,朱文明,王昊.基于业务规则的错误数据清理方法[J].计算机工程与应用,2005,41(14):172-174. 被引量:10
  • 2Monge A E. Matching algorithms within a duplicate detection system [J]. IEEE Data Engineer Bulletin, 2000,23(4) : 14-20.
  • 3Verykios V S, Elmagarmid A K, Houstis E N. Automating the approximate record matching process [ J]. Journal of Information Sciences, 2000,126 ( 1 - 4) : 83 - 98.
  • 4Dey D, Sarkar S, De P. A distance-based approach to entity reconciliation in heterogeneous databases [ J ].IEEE Transactions on Knowledge and Data Engineering,2002,14(3) : 567 -582.
  • 5Chun M, Lam E. Data re-use-the use of data collected in one online audit project for other audit projects [ C ]. In:The Second International Seminar on IT Audit Nanjing, 2004.
  • 6Aggarwal C C, Yu P S. Outlier detection for high dimensional data [ C ].//Aref W G. Proceedings of the ACM SIGMOD International Conference on Management of Data. Los Angeles: CA: ACM Press, 2001.
  • 7Han J W, Kamber M. Data Mining: Concepts and Techniques[ M]. San Francisco: Morgan Kaufmann, 2001.
  • 8Lee 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.
  • 9Rahm E, Do H H. Data cleaning:Problems and current approaches [J]. IEEE Data Engineer Bulletin,2000, 23(4) :3- 13.
  • 10Monge A E. Matching algorithms within a duplicate detection system [J]. IEEE Data Engineer Bulletin,2000,23(4): 14 - 20.

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