| 浅谈数据挖掘在机房信息管理中的应用 |
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| 引用本文： | 唐立,王爱平,张建.浅谈数据挖掘在机房信息管理中的应用[J].数字社区&智能家居,2010(12). |
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| 作者姓名： | 唐立 王爱平 张建 |
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| 作者单位： | 安徽大学软件学院;安徽经济管理学院现在教育技术中心; |
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| 基金项目： | 安徽经济管理学院院级课“公共实验室管理信息系统的研究与实现”(YJKT0910YB) |
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| 摘 要： | 以往的机房信息管理系统,多数是OLTP系统,缺乏综合分析、辅助决策的能力,尤其对其历史积累的海量信息中隐含知识的利用无能为力。该文在聚类规则挖掘理论与研究的基础上,将k-means的算法应用于安徽经济管理学院的机房信息管理系统,对课外上机人次数据进行挖掘,根据挖掘规则得出了课外上机与课内上机时间安排的合理顺序。
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| 关 键 词： | 数据挖掘 聚类规则 k-means |
On the Application of Data Mining in the Computer Room Information Management |
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| TANG Li,WANG Ai-ping,ZHANG Jian.On the Application of Data Mining in the Computer Room Information Management[J].Digital Community & Smart Home,2010(12). |
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| Authors: | TANG Li WANG Ai-ping ZHANG Jian |
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| Affiliation: | College of Software Anhui University;Hefei 230039;China;2.School of Economics & Management Anhui;Hefei 23005;China |
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| Abstract: | Throughout the previous room information management system,most OLTP systems,the lack of comprehensive analysis,decision support capabilities,particularly its history of massive accumulation of information in the use of implicit knowledge can do nothing.In this paper,clustering rules mining based on theory and research,k-means algorithm will be applied to the school room Anhui information management system on the machine for extra-curricular trips data mining,mining regulations based on the machine and obta... |
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| Keywords: | data mining:clustering rules:k-means |
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