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基于数据挖掘算法的高校信息化教育资源整合研究

Research on the Integration of University Informatization Education Resources Based on Data Mining Algorithms

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【作者】 史晓峰陈翰林赵琪

【Author】 SHI Xiaofeng;CHEN Hanlin;ZHAO Qi;Big Data and Informatization Technology Center,Changchun Institute of Technology;Changchun 106th Middle School;

【机构】 长春工程学院大数据与信息化技术中心长春市第一〇六中学

【摘要】 随着计算机技术的不断发展,高校教育教学管理的信息系统日益丰富。针对高校信息化项目建设时间过长,缺乏统一规划,信息资源不准确和信息管理不能跨部门共享等问题,提出一种基于数据挖掘技术的高校信息化教育资源整合方法,通过多线程综合调度方法构建高校教育信息化资源调度模型,采用数据关联规则挖掘方法实现教育资源的信息融合。试验结果表明,在资源调度的吞吐量上均高于目前主流的方法,达到710 Mb/s,在各任务规模下执行时间均较短,具有较好的信息化教育资源整合与调度能力,促进了教学水平的提升。

【Abstract】 With the continuous development of computer technology, the information systems for higher education and teaching management are growing rich increasingly.In response to the problems of long construction time, lack of unified planning, inaccurate information resources, and inability to share information management across departments in the informatization projects of universities, a method for integrating informatization education resources in higher education based on data mining technology is proposed.A resource scheduling model for educational informatization in higher education institutions is constructed by a multi-threaded comprehensive scheduling approach, and the information fusion of educational resources is achieved through data association rule mining.The experimental results demonstrate that the method has higher throughput in resource scheduling than the current mainstream methods, reaching 710 Mb/s.The execution time is relatively short at various task scales, and it has good ability to integrate and schedule informatization education resources, promoting the improvement of teaching level.

【基金】 吉林省高等教育教学改革研究课题(JLJY202557354719);校级教学改革研究课题(2024cit0021)
  • 【文献出处】 长春工程学院学报(自然科学版) ,Journal of Changchun Institute of Technology(Natural Science Edition) , 编辑部邮箱 ,2025年02期
  • 【分类号】G647;TP311.13
  • 【下载频次】11
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