| 基于数据挖掘的图书馆读者需求分析 |
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| 引用本文： | 李玮平. 基于数据挖掘的图书馆读者需求分析[J]. 图书馆论坛, 2004, 24(3): 86-88 |
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| 作者姓名： | 李玮平 |
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| 作者单位： | 东莞理工学院图书馆,广东,东莞,523106 |
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| 摘 要： | 图书馆数字化发展，使数据挖掘等技术在读者需求预测方面得到了广泛使用。可以利用图书馆的借阅数据及调查结果，形成一个关于读者需求的数据仓库，挖掘出读者需求的规则和模式，并进行模糊推理，指导藏书建设。在这个思路下提出一个基于数据挖掘及模糊推理的需求分析模型。
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| 关 键 词： | 数据挖掘 图书馆 读者需求 需求分析 数据仓库 模糊逻辑神经元 模糊推理 |
| 文章编号： | 1002-1167(2004)03-0086-03 |
| 修稿时间： | 2003-10-27 |
Research on Data Mining-based Customer Requirement Analysis |
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| LI Wei-ping. Research on Data Mining-based Customer Requirement Analysis[J]. Library Tribune, 2004, 24(3): 86-88 |
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| Authors: | LI Wei-ping |
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| Abstract: | With the development of library digitalization,some new technologies such as data mining have been utilized widely in many fields such as reader analysis.Also enterprise loan book and survey data can be formed into reader analysis.From the data warehouse,rules and models about reader requirements can be mined,and utilizing the rules and models,we can reason the reader requirements.According to the thoughtfulness,we develop a model of data mining-based reader requirements analysis,which is described in this paper. |
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| Keywords: | data mining fuzzy reasoning reader requirement fuzzy logical neural cell |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
