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机构地区:[1]湛江师范学院科技处,广东湛江524048 [2]湛江师范学院商学院,广东湛江524048
出 处:《科技和产业》2007年第6期38-40,45,共4页Science Technology and Industry
摘 要:高校信息系统中存储了丰富的教学、科研、管理等各方面的信息,数据内容丰富,范围广泛。本文将关联规则数据挖掘方法应用于高校科技统计相关数据中,依据挖掘的目的和数据特点,设计挖掘系统。通过挖掘教师教学科研数据,以期得到教师教学科研工作的潜在规则,辅助决策下一阶段的科研管理工作。University's information system has stored every rich aspect information, such as teaching, scientific research and management. The data is rich in content and broad in range. This paper applies the association rule Data Mining into the university's science and technology statistics relevance data, judge by mining purpose and data characteristic, design the mining system. Mining the data about teaching and scientific research, with the purpose of finding out the potential rules in teaching and scientific research. It will offer some help to the teaching activity and scientific research in the following year.
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