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The Realization of the Apriori Algorithm in University Management

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Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1303))

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Abstract

In this paper, the Apriori association rules mining algorithm is studied in-depth, and the algorithm is realized by MATLAB. To further avoid blind search in the process of mining and improve the efficiency of frequent itemset search, the improved technology of the Apriori algorithm is studied, and the application of the improved Apriori algorithm in teaching management is studied. The proportion of application and research data mining in the teaching management system of colleges and universities is still low, especially in the management of students’ scores, because there are many students, the amount of students’ scores that need to be counted is large.

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References

  1. Zhang, C., Zhang, S.C.: Association rule miring model and algorithms. Springer 2307, 33–39 (2002)

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Acknowledgments

This research is a part of the results of the Chinese National Education Science Planning Project (DIA160317) of the Ministry of Education of PRC.

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Authors and Affiliations

  1. Shanong Institute of Commerce and Technology, Jinan, 250103, Shandong, China

    Zhang Ruyong & Song Limei

Authors
  1. Zhang Ruyong
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  2. Song Limei
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Corresponding author

Correspondence to Zhang Ruyong .

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Editors and Affiliations

  1. School of Computer Science, University of Oklahoma, Norman, OK, USA

    Mohammed Atiquzzaman

  2. University of Aizu, Fukushima, Japan

    Neil Yen

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

    Zheng Xu

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© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Ruyong, Z., Limei, S. (2021). The Realization of the Apriori Algorithm in University Management. In: Atiquzzaman, M., Yen, N., Xu, Z. (eds) Big Data Analytics for Cyber-Physical System in Smart City. BDCPS 2020. Advances in Intelligent Systems and Computing, vol 1303. Springer, Singapore. https://doi.org/10.1007/978-981-33-4572-0_245

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  • DOI: https://doi.org/10.1007/978-981-33-4572-0_245

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-33-4573-7

  • Online ISBN: 978-981-33-4572-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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