| 关联规则挖掘的算法分析 |
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| 引用本文： | 李晓毅,徐兆棣.关联规则挖掘的算法分析[J].辽宁工程技术大学学报(自然科学版),2006,25(2):318-320. |
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| 作者姓名： | 李晓毅 徐兆棣 |
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| 作者单位： | 沈阳师范大学,数学与系统科学学院,辽宁,沈阳,110034 |
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| 基金项目： | 国家自然科学基金资助项目(10471096) |
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| 摘 要： | 在分析了关联规则挖掘的算法后，将其应用于某高校科技论文数据库中，挖掘高校教师各职称成次、学历成次与所发表的科研论文数量、档次间的关联规则。掘出该校教师具有博士学位或硕士学位的教授中，在一个聘期内发表在中文核心期刊以上的论文数量为8篇的支持度为15％的置信度是77％等六项强规则。挖掘所得的规则为人事科研部门进行职称考核、评聘、科研管理等工作提供数量依据，便于量化管理。
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| 关 键 词： | 数据挖掘 关联规则 职称考核 |
| 文章编号： | 1008-0562(2005)02-0318-03 |
| 修稿时间： | 2005年2月15日 |
Algorithmic analysis of association rules mining |
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| LI Xiao-yi,XU Zhao-di.Algorithmic analysis of association rules mining[J].Journal of Liaoning Technical University (Natural Science Edition),2006,25(2):318-320. |
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| Authors: | LI Xiao-yi XU Zhao-di |
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| Abstract: | In this paper,algorithmic analysis of association rules mining is analyzed and applied to the database of scientific research essays of a university.It mines the association rules between different titles and education levels and the numbers and levels of the scientific research essays they have published.We have mined out six strong rules,for example,the sustaining degree is 15% and the belief degree is 77% for a professor who has got a doctor degree or a master degree in the university to publish 8 essays in Chinese core magazines during a round of his engaged period.The rules coming from mining can provide the principle to the personnel department for its professional title check,evaluation for engagement,the management of scientific research and so on and make it easy to manage quantitatively. |
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| Keywords: | data mining association rules professional title check |
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