{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T07:48:24Z","timestamp":1767167304006,"version":"build-2238731810"},"reference-count":30,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2021,5,18]],"date-time":"2021-05-18T00:00:00Z","timestamp":1621296000000},"content-version":"vor","delay-in-days":137,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100010754","name":"Zhejiang Gongshang University","doi-asserted-by":"publisher","award":["Xgy20017"],"award-info":[{"award-number":["Xgy20017"]}],"id":[{"id":"10.13039\/100010754","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Complexity"],"published-print":{"date-parts":[[2021,1]]},"abstract":"<jats:p>Data mining is a new technology developed in recent years. Through data mining, people can discover the valuable and potential knowledge hidden behind the data and provide strong support for scientifically making various business decisions. This paper applies data mining technology to the college student information management system, mines student evaluation information data, uses data mining technology to design student evaluation information modules, and digs out the factors that affect student development and the various relationships between these factors. Predictive assessment of knowledge and personalized teaching decision\u2010making provide the basis. First, the general situation of genetic algorithm and fuzzy genetic algorithm is introduced, and then, an improved genetic fuzzy clustering algorithm is proposed. Compared with traditional clustering algorithm and improved genetic fuzzy clustering algorithm, the effectiveness of the algorithm proposed in this paper is proved. Based on the analysis system development related tools and methods, in response to the needs of the student information management system, a simple student information management system is designed and implemented, which provides a platform and data source for the next application of clustering algorithm for performance analysis. Finally, clustering the students\u2019 scores with a clustering algorithm based on fuzzy genetic algorithm, the experimental results show that this method can better analyze the students\u2019 scores and help relevant teachers and departments make decisions.<\/jats:p>","DOI":"10.1155\/2021\/4447045","type":"journal-article","created":{"date-parts":[[2021,5,18]],"date-time":"2021-05-18T17:35:07Z","timestamp":1621359307000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":31,"title":["[Retracted] Construction of Student Information Management System Based on Data Mining and Clustering Algorithm"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6938-5007","authenticated-orcid":false,"given":"XueHong","family":"Yin","sequence":"first","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2021,5,18]]},"reference":[{"key":"e_1_2_10_1_2","doi-asserted-by":"publisher","DOI":"10.4018\/IJDWM.2020040102"},{"key":"e_1_2_10_2_2","doi-asserted-by":"publisher","DOI":"10.4236\/iim.2020.123006"},{"key":"e_1_2_10_3_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10586-018-2119-x"},{"key":"e_1_2_10_4_2","first-page":"1031","article-title":"Ontology-based recommender system in higher education","volume":"2","author":"Obeid C.","year":"2018","journal-title":"InCompanion Proceedings of the Web Conference"},{"key":"e_1_2_10_5_2","article-title":"Predictive evaluation of performance of computer science students of UNNES using data mining based on na\u00cfve Bayes classifier (NBC) algorithm","volume":"95","author":"Sugiharti E.","year":"2017","journal-title":"Journal of Theoretical and Applied Information Technology"},{"key":"e_1_2_10_6_2","doi-asserted-by":"crossref","unstructured":"JainS. 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