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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">JCER</journal-id><journal-title-group><journal-title>Journal of Contemporary Educational Research</journal-title></journal-title-group><issn>2208-8466</issn><eissn>2208-8474</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/jcer.v8i2.6140</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Application Analysis of Nursing Students' Grades in Course Relevance Based on Association Rule Mining Algorithm Apriori</title><url>https://artdesignp.com/journal/JCER/8/2/10.26689/jcer.v8i2.6140</url><author>LiXuemei,JimenezEdward C.</author><pub-date pub-type="publication-year"><year>2024</year></pub-date><volume>8</volume><issue>2</issue><history><date date-type="pub"><published-time>2024-02-25</published-time></date></history><abstract>By analyzing the correlation between courses in students’ grades, we can provide a decision-making basis for the revision of courses and syllabi, rationally optimize courses, and further improve teaching effects. With the help of IBM SPSS Modeler data mining software, this paper uses Apriori algorithm for association rule mining to conduct an in-depth analysis of the grades of nursing students in Shandong College of Traditional Chinese Medicine, and to explore the correlation between professional basic courses and professional core courses. Lastly, according to the detailed analysis of the mining results, valuable curriculum information will be found from the actual teaching data.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Zhu X, Zong Y, 2022, Construction and Application Analysis of University Management System Based on Association Rule Mining Algorithm Apriori. Scientific Programming, 2022(2022):9 pages. https://doi.org/10.1155/2022/4367267</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Huang C, 2022, Research on the Relevance of Art Courses in Colleges and Universities Based on Data Mining. Scientific Programming, 2022(2022): 7 pages. https://doi.org/10.1155/2022/6896816</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B3" content-type="article"><label>3</label><element-citation publication-type="journal"><p>Wu X, Zeng Y, 2019, Using Apriori Algorithm on Students’ Performance Data for Association Rules Mining, 2nd International Seminar on Education Research and Social Science (ISERSS 2019). Atlantis Press, Malaysia, 205–208.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B4" content-type="article"><label>4</label><element-citation publication-type="journal"><p>Huang C, Pu S, 2020, Correlation Analysis on the Courses of Civil Engineering Based on Association Rules Mining, 2020 International Conference on Social Science, Economics and Education Research (SSEER 2020). Atlantis Press, Singapore, 28–32.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B5" content-type="article"><label>5</label><element-citation publication-type="journal"><p>Li T, 2021, Application of APRIORI Correlation Algorithm on Music Education Curriculum Association Rules, Journal of Physics: Conference Series (Vol. 1955, No. 1, p. 012067), IOP Publishing.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B6" content-type="article"><label>6</label><element-citation publication-type="journal"><p>Angeline DMD, 2013, Association Rule Generation for Student Performance Analysis Using Apriori Algorithm. The SIJ Transactions on Computer Science Engineering &amp; its Applications (CSEA), 1(1): 12–16.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
