| 数据挖掘在高校图书馆智能分析中的应用 |
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| 引用本文： | 孙雷,孙庆苏.数据挖掘在高校图书馆智能分析中的应用[J].现代情报,2009,29(8):185-187,190. |
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| 作者姓名： | 孙雷 孙庆苏 |
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| 作者单位： | 1. 江苏广播电视大学图书馆,江苏,南京,210036;2. 南京集仑软件科技有限公司,江苏,南京,210061 |
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| 摘 要： | 本文给出一种高校图书馆智能分析应用数据挖掘的思路和模式,以江苏广播电视大学图书馆为实例,详细分析了读者关联挖掘、图书动态聚类分析、读者特征细分挖掘在图书管理中的具体应用,经实施表明,数据挖掘的结果合理,可以帮助图书馆的决策者进行优化管理。
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| 关 键 词： | 数据挖掘 关联规则 智能分析 聚类分析 决策树 |
Application of Data Mining on the Intelligent Analysis for University Libraries |
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| Authors: | Sun Lei Sun Qingsu |
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| Institution: | 1. Library, Jiangsu Radio and Television University, Nanjing 210036, China; 2. Nanjing Jilun Software Technology Corp, Nanjing 210061, China |
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| Abstract: | This paper provided an idea and a model of using data mining on the intelligent analysis for university libraries.Taking Jiangsu radio and television university library as an example,the readers related analysis of mining,cluster analysis of dynamic books,the detailed mining based on reader s features in the library were carried out.Practical calculations showed that the results of such data mining were reasonable.It may help the decision-makers to optimize the managements of libraries. |
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| Keywords: | data mining association rule intelligent analysis cluster analysis decision tree |
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