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The burgeoning growth of online educational resources not only enriches learning but also introduces complexities in resource management and personalization. This study pioneers the construction of a Fundamental Training Educational Resource Repository (FTERR) by harnessing sophisticated data mining approaches. We initiate by intricately mapping students\u2019 learning needs through knowledge graph and semantic analysis, ensuring a deep alignment with individual educational journeys. Subsequently, we address the hurdles in resource management by introducing an innovative data storage model. This model, in synergy with advanced clustering algorithms, streamlines the retrieval process, rendering it both swift and intuitive. Our research transcends traditional data mining applications in education, steering towards a more informed and responsive educational ecosystem. This novel approach not only elevates the precision and efficiency of educational resource allocation but also significantly enriches the student learning experience, marking a leap forward in educational informatization. The main purpose of this study is to address the issue of insufficient personalized learning needs in online educational resources by introducing advanced data mining technologies, including knowledge graphs and semantic analysis. The study develops new data storage models and utilizes clustering algorithms to achieve rapid and visual retrieval of educational resources, thereby enhancing the utilization efficiency of educational resources and improving students\u2019 learning experiences. The methods and findings of this study can provide references for data mining applications in other fields and promote the application and development of data science in a broader range of fields.<\/jats:p>","DOI":"10.1177\/14727978251322335","type":"journal-article","created":{"date-parts":[[2025,2,25]],"date-time":"2025-02-25T15:39:37Z","timestamp":1740497977000},"page":"341-354","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Revolutionizing education: Harnessing data mining for enhanced resource repository in fundamental training programs"],"prefix":"10.1177","volume":"25","author":[{"given":"Xiaozhou","family":"Wu","sequence":"first","affiliation":[{"name":"Guizhou University of Commerce"}]}],"member":"179","published-online":{"date-parts":[[2025,2,25]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.profnurs.2020.03.012"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1504\/IJCEELL.2019.102768"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3074383"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10586-018-2420-8"},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.3991\/ijet.v14i22.11345"},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.3233\/KES-230093"},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.3233\/JIFS-231769"},{"issue":"96","key":"e_1_3_2_9_2","first-page":"548","article-title":"Impact of digitalization on improving the efficiency of training specialists with knowledge of foreign languages","volume":"20","author":"Lopukhina R","year":"2024","unstructured":"Lopukhina R, Silchenkov I, Sadykova D, et al. 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