An Informatization Model of Scientific Computing for Mining Association Rules Used in Teaching Management Evaluation | Zendy

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An Informatization Model of Scientific Computing for Mining Association Rules Used in Teaching Management Evaluation

Author(s) -

Chen Chen

Publication year - 2022

Publication title -

journal of sensors

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.399

H-Index - 43

eISSN - 1687-7268

pISSN - 1687-725X

DOI - 10.1155/2022/2943692

Subject(s) - informatization , association rule learning , quality (philosophy) , association (psychology) , computer science , architecture , service (business) , function (biology) , engineering management , information management , management system , knowledge management , data mining , engineering , operations management , world wide web , business , art , philosophy , epistemology , marketing , evolutionary biology , biology , visual arts

The management information system is a kind of information-based, people-oriented, and socialized service as its purpose. It adopts advanced technology to realize the management of teachers, students, and other related personnel while effectively improving the quality of teaching. This article first analyzes the overview of data mining technology. Secondly, it analyzes the related algorithms of association rules. Finally, this article introduces the demand analysis of the university teaching quality evaluation system based on the scientific calculation of association rules. According to the demand analysis results, the system module and the corresponding submodule function modules are determined, and finally, the system architecture model is designed. Experimental results show that this model is useful for providing the effectiveness of information management.

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