| 数据挖掘技术的改进在图书馆个性化服务中的应用 |
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| 引用本文： | 陆觉民,郑宇.数据挖掘技术的改进在图书馆个性化服务中的应用[J].现代图书情报技术,2006,1(8):65-68. |
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| 作者姓名： | 陆觉民 郑宇 |
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| 作者单位： | 上海大学图书馆,上海,200072 |
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| 摘 要： | Apriori 算法是关联规则挖掘的一个经典算法，在分析关联规则挖掘算法的基础上，提出利用HASH表技术及减少生成候选集的数量对经典Apriori 算法进行改进,从而提高图书馆数据资源的利用率，加强图书馆个性化服务。
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| 关 键 词： | 关联规则 HASH表 |
| 收稿时间： | 2006-05-11 |
| 修稿时间： | 2006-05-23 |
Application of the Improving Data Mining Technique in the Individualized Service of the Digital Library |
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| Lu Juemin,Zheng Yu.Application of the Improving Data Mining Technique in the Individualized Service of the Digital Library[J].New Technology of Library and Information Service,2006,1(8):65-68. |
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| Authors: | Lu Juemin Zheng Yu |
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| Institution: | Shanghai University Library, Shanghai 200072, China |
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| Abstract: | The Apriori algorithm is a classical method of association rules mining. Based on analysis of this theory, the paper provides an improved Apriori algorithm. The paper puts foward with algorithm combines HASH table technique and reduction of candidate item sets to enhance the usage efficiency of resources as well as the individualized service of the data library. |
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| Keywords: | Apriori Association rules HASH table |
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