| 基于关联规则的图书馆读者聚类算法研究 |
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| 引用本文： | 张海营. 基于关联规则的图书馆读者聚类算法研究[J]. 图书情报工作, 2011, 55(19): 110-114 |
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| 作者姓名： | 张海营 |
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| 作者单位： | 襄樊学院图书馆 |
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| 摘 要： | 借用商业领域顾客购买行为关联性分析的相关研究，通过对Apriori 关联分析算法的分析，提出符合图书馆环境的修正的图书馆读者关联分析算法，借此可以通过读者借阅历史记录实现图书馆众多读者的聚类划分，完成图书馆读者的“同好”归类；通过读者推荐实例实现图书馆个性化服务的初步实践，同时为实现图书馆知识联盟、读者社群的构建提供技术辅助支持。
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| 关 键 词： | 关联规则 聚类分析 借阅记录〓 数据挖掘 |
| 收稿时间： | 2011-04-02 |
Readers Clustering Algorithm Based on Association Rules |
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| Zhang Haiying Xiangfan University Library,Xiangyang. Readers Clustering Algorithm Based on Association Rules[J]. Library and Information Service, 2011, 55(19): 110-114 |
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| Authors: | Zhang Haiying Xiangfan University Library Xiangyang |
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| Affiliation: | Xiangfan University Library, |
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| Abstract: | Based on the related researches on association analysis of customer buying behaviors in the commercial field,this paper analyses Apriori association analysis algorithm,proposes the amended library association analysis algorithm for library readers according to the library environment.Based on this,by means of the readers' history record of borrow and read,it can realize the clustering division of the library readers and complete the classification of the library readers with the same hobby.Furthermore,by me... |
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| Keywords: | association rules cluster analysis loan records data mining |
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