Frontiers in Signal Processing

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DOI: 10.22606/fsp.2020.41002

• Honglei Chu^*
  Key Laboratory of Electronic and Information Engineering, Southwest Minzu University, Chengdu, China
• Daji Ergu^*
  Key Laboratory of Electronic and Information Engineering, Southwest Minzu University, Chengdu, China

The data analysis is very important in the audit field since there are plenty of audit big data, which cannot be identify easily. This paper applies one of the big data techniques to the audit work and solves the problem that is hard to be found in the hidden information data. Specifically, the Apriori algorithm is used to mine and analyze the audited personnel's learning test data in the audit data to form the association rules, and the results can provide guidance for the next audited personnel training and testing. Firstly, the test data is preprocessed and the data is discretized; then the Apriori algorithm is used in the Python language environment, and the processed data is used to mine the association rules, and the impact of the audited personnel is found in the formed association rules. The rules of the results are analyzed.

Audit work, data mining, Apriori algorithm, test data.

[1] Wu Xiaodong, Zeng Yuzhu. University Students’ Achievement Data Mining Based on Apriori Algorithm[J]. Journal of Langfang Teachers College (Natural Science Edition), 2019, 19(01): 33-38.

[2] Ji Lianen [1,2], Gao Fang [1,2], Huang Kaihong [1,2] , et al. Visual exploration and analysis of university curriculum scores for multi-agents[J]. Computer Aided Design & Journal of Graphics, 2018.

[3] Hu Zuhui, Shi Wei. Research on College Students’ Online Behavior Analysis and Data Mining[J]. China Distance Education (Comprehensive Edition), 2017(2).

[4] He Chu [1], Song Jian [1], Zhuo Tong [1]. Curriculum relevance classification model based on frequent pattern spectral clustering and student achievement prediction algorithm[J]. Journal of Computer Applications, 2015, 32( 10): 2930-2933.

[5] Peng Hailei. Research on the Relationship between Online Education Teacher Behavior and Student Learning Effect[J]. Journal of Northwest Normal University (Social Science Edition), 2018, v.55; No.260(04):111-117.

[6] Cao Yuyu, Cao Weiquan, Li Wei, et al. A method for predicting college students’ performance against uncertain missing data [J]. Modern Electronic Technology, 2018.

[7] Du Qiu, Wu Ying. Application of Association Rules Based on Apriori Algorithm in Enterprise Personnel Management System[J]. Journal of Science and Technology Monthly, 2008(12): 136-138.

[8] Sun Ting. Research on the law of medical drugs in insomnia based on Apriori algorithm [D].

[9] Jia Kebin, Li Hanzhen, Yuan Ye. Application of Data Mining Based on Apriori Algorithm in Mobile Medical System[J]. Journal of Beijing University of Technology, 2017(3).

[10] Zhao Hongli. Research on improved Apriori algorithm in psychology analysis of college students [D]. 2015.

[11] Wang Hua, Liu Ping. Application of Improved Association Rules Algorithm in Student Score Early Warning[J]. Computer Engineering and Design, 2015(3): 679-682.