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The International Conference on Cyber Security Intelligence and Analytics

CSIA 2021: Cyber Security Intelligence and Analytics pp 944–949Cite as

Research on the Application of Data Mining Techniques in the Audit Process

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1343))

Abstract

How to accurately locate the meaningful audit doubts in the massive data has become the main problem facing the current audit work. Especially in the era of Internet data, data mining technology is developing very fast, and the analysis methods are becoming more mature, which are widely and successfully applied in various fields. Therefore, it is of great practical significance to apply data mining technology to the audit process, which can clearly locate the degree of correlation between different statistical index variables, evaluate certain abnormal data or abnormal correlation performance, and serve as an important supplement to the audit work.

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References

  1. Luo, Y.: Application of data mining technology and internal audit information in the communication industry. China Int. Bus. (Chinese & English), (07), 108–109 (2018)

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  2. Wang, L., Bao, X., Wang, Y., et al.: Audit data analysis and case application based on data mining algorithm. Chin. Certif. Public Acc. 253(06), 103–107 (2020)

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  3. Wang, Q., Luan, D., Zhang, L.: Application of web crawler technology to obtain audit evidence - an example of audit of Asia-Pacific industrial. Friends Acc. (17) (2020)

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  4. Liu, L.: Big data-based design and method of full coverage path of government audit - MPP and Hadoop technology route as an example. J. Xuchang College 39(01), 104–108 (2020)

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Author information

Authors and Affiliations

  1. Digital Grid Research Institute, China Southern Power Grid, Guangzhou, 510006, Guangdong, China

    Jie Guo & Sen Liu

Authors
  1. Jie Guo
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  2. Sen Liu
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Editor information

Editors and Affiliations

  1. Shanghai University of Medicine and Health Sciences, Shanghai, China

    Zheng Xu

  2. Department Software Engineering and Game Development, Kennesaw State University, Marietta, GA, USA

    Reza M. Parizi

  3. School of Engineering and Sciences, Tecnologico de Monterrey, Puebla, Mexico

    Octavio Loyola-González

  4. Assistant Professor in Practice, University of Texas at San Antonio, Boerne, TX, USA

    Xiaolu Zhang

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© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Cite this paper

Guo, J., Liu, S. (2021). Research on the Application of Data Mining Techniques in the Audit Process. In: Xu, Z., Parizi, R.M., Loyola-González, O., Zhang, X. (eds) Cyber Security Intelligence and Analytics. CSIA 2021. Advances in Intelligent Systems and Computing, vol 1343. Springer, Cham. https://doi.org/10.1007/978-3-030-69999-4_139

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