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Feature Analysis of Structural Mechanics Based on Association Rules Mining

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DOI: 10.23977/ICEMSS2020.004

Author(s)

Chuanteng Huang, Shuang Pu

Corresponding Author

Chuanteng Huang

ABSTRACT

The professional education courses in Civil Engineering include mathematics curriculum group, mechanics curriculum group and design curriculum group, the mechanics curriculum group serves as a link between the preceding and the following courses. In order to study the features of Structural Mechanics, this paper selects a total of 7 representative courses in the three curriculum groups. The final academic records of 249 students in three grades are used as research objects. By using the association rule algorithm—Apriori, this paper discusses the implementation process of data mining technology and clarifies the degree of relationship between the selected courses and Structural Mechanics. The analysis results can provide important references for the setting and structure adjustment of Structural Mechanics, targeting the key and difficult part of Structural Mechanics, teaching reform and academic learning monitoring and forecasting.

KEYWORDS

Association rules, Apriori, Structural Mechanics, Feature analysis

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