| 关联规则改进的Apriori算法在高校科研管理的应用研究 |
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| 引用本文： | 胡佳. 关联规则改进的Apriori算法在高校科研管理的应用研究[J]. 萍乡高等专科学校学报, 2014, 31(3): 64-68 |
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| 作者姓名： | 胡佳 |
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| 作者单位： | 南昌师范学院,江西南昌,330032 |
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| 摘 要： | 本文介绍了本次数据挖掘的理论基础,使用改进的Apriori算法挖掘了学院科研历史记录,并且实施了三个数据挖掘任务,分析了数据挖掘结果。通过实践证明,数据挖掘对科研管理决策的有效性。
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| 关 键 词： | 关联规则 改进算法 科研管理 |
A Study on the Application of Apriori Algorithm Improved by Association Rules in Scientific Research Management in Colleges and Universities |
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| Hu Jia. A Study on the Application of Apriori Algorithm Improved by Association Rules in Scientific Research Management in Colleges and Universities[J]. Journal of Pingxiang College, 2014, 31(3): 64-68 |
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| Authors: | Hu Jia |
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| Affiliation: | Hu Jia (Department of Mathematics and Computer Science, Jiangxi Institute of Education, Nanchang, Jiangxi 330032) |
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| Abstract: | This paper introduces the theoretical basis of the data mining. It uses the improved Apriori algorithm to mine the data of scientific data in colleges over the years. Meanwhile, it carries out the three tasks of data mining and analyzes the results. Practice has proved the effectiveness of data mining research management decisions. |
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| Keywords: | association rules improved algorithm scientific research management |
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