Data Mining Technology in Teaching Evaluation of Colleges and Universities
Data Mining refers to the large amount of data from the database through algorithmic search reveals implicit, previously unknown and potentially valuable process information[1]. Currently, many areas during the application of data mining. Data mining association rules is one of the most important an...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2024-01-01
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| Series: | SHS Web of Conferences |
| Online Access: | https://www.shs-conferences.org/articles/shsconf/pdf/2024/07/shsconf_essc2024_04030.pdf |
| _version_ | 1797248805872074752 |
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| author | Zhang Chao He Linling |
| author_facet | Zhang Chao He Linling |
| author_sort | Zhang Chao |
| collection | DOAJ |
| description | Data Mining refers to the large amount of data from the database through algorithmic search reveals implicit, previously unknown and potentially valuable process information[1]. Currently, many areas during the application of data mining. Data mining association rules is one of the most important and most mature technology research methods, association rule mining can find the hidden link between the transaction and meaningful rules. The purpose of this study is to evaluate data mining techniques combined with teaching, to extract useful information from a large number of evaluation data hiding, thereby providing a basis for decision support educational administration department, improve teaching quality. |
| first_indexed | 2024-04-24T20:20:26Z |
| format | Article |
| id | doaj.art-4a72b4ea96a24673974a2f1a00156d25 |
| institution | Directory Open Access Journal |
| issn | 2261-2424 |
| language | English |
| last_indexed | 2024-04-24T20:20:26Z |
| publishDate | 2024-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | SHS Web of Conferences |
| spelling | doaj.art-4a72b4ea96a24673974a2f1a00156d252024-03-22T08:08:02ZengEDP SciencesSHS Web of Conferences2261-24242024-01-011870403010.1051/shsconf/202418704030shsconf_essc2024_04030Data Mining Technology in Teaching Evaluation of Colleges and UniversitiesZhang Chao0He Linling1Hunan International Economics UniversityHunan College of Foreign StudiesData Mining refers to the large amount of data from the database through algorithmic search reveals implicit, previously unknown and potentially valuable process information[1]. Currently, many areas during the application of data mining. Data mining association rules is one of the most important and most mature technology research methods, association rule mining can find the hidden link between the transaction and meaningful rules. The purpose of this study is to evaluate data mining techniques combined with teaching, to extract useful information from a large number of evaluation data hiding, thereby providing a basis for decision support educational administration department, improve teaching quality.https://www.shs-conferences.org/articles/shsconf/pdf/2024/07/shsconf_essc2024_04030.pdf |
| spellingShingle | Zhang Chao He Linling Data Mining Technology in Teaching Evaluation of Colleges and Universities SHS Web of Conferences |
| title | Data Mining Technology in Teaching Evaluation of Colleges and Universities |
| title_full | Data Mining Technology in Teaching Evaluation of Colleges and Universities |
| title_fullStr | Data Mining Technology in Teaching Evaluation of Colleges and Universities |
| title_full_unstemmed | Data Mining Technology in Teaching Evaluation of Colleges and Universities |
| title_short | Data Mining Technology in Teaching Evaluation of Colleges and Universities |
| title_sort | data mining technology in teaching evaluation of colleges and universities |
| url | https://www.shs-conferences.org/articles/shsconf/pdf/2024/07/shsconf_essc2024_04030.pdf |
| work_keys_str_mv | AT zhangchao dataminingtechnologyinteachingevaluationofcollegesanduniversities AT helinling dataminingtechnologyinteachingevaluationofcollegesanduniversities |