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2021 | OriginalPaper | Chapter

The Realization of the Apriori Algorithm in University Management

Authors : Zhang Ruyong, Song Limei

Published in: Big Data Analytics for Cyber-Physical System in Smart City

Publisher: Springer Singapore

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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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Literature
1.
go back to reference Zhang, C., Zhang, S.C.: Association rule miring model and algorithms. Springer 2307, 33–39 (2002) Zhang, C., Zhang, S.C.: Association rule miring model and algorithms. Springer 2307, 33–39 (2002)
2.
go back to reference Agrawal, R., Shafer, J.C.: Perall mining of association rules. IEEE Trans. Knowl. Data Eng. 8(6), 962–969 (1996)CrossRef Agrawal, R., Shafer, J.C.: Perall mining of association rules. IEEE Trans. Knowl. Data Eng. 8(6), 962–969 (1996)CrossRef
3.
go back to reference Agrawal, R., Imielinski, T., Swami, A.: Mining association rules between sets of items in large databases. In: Proceedings of the ACM SIGMOD Conference on Management of Data, pp. 207–216 (1999) Agrawal, R., Imielinski, T., Swami, A.: Mining association rules between sets of items in large databases. In: Proceedings of the ACM SIGMOD Conference on Management of Data, pp. 207–216 (1999)
Metadata
Title
The Realization of the Apriori Algorithm in University Management
Authors
Zhang Ruyong
Song Limei
Copyright Year
2021
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-33-4572-0_245

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