| 数据挖掘技术在高校图书馆信息管理系统中的应用 |
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| 引用本文： | 周建华. 数据挖掘技术在高校图书馆信息管理系统中的应用[J]. 郑州轻工业学院学报(自然科学版), 2012, 27(3): 45-48 |
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| 作者姓名： | 周建华 |
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| 作者单位： | 郑州轻工业学院图书馆,河南郑州,450002 |
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| 基金项目： | 河南省社科联项目(SKL—2011—626) |
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| 摘 要： | 针对目前图书馆对读者信息的获取停留在比较浅显的层面,缺乏深层次的信息加工和数据的综合分析等问题,基于数据挖掘技术,通过数据清理、数据整合,并加上规约算法,对图书馆信息管理的数据进行挖掘和预测.实践表明,该方法可实现对读者的借阅行为、图书需求和阅读兴趣等信息的挖掘和预测,以便调整和提高图书管理策略.
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| 关 键 词： | 数据挖掘 图书馆信息管理系统 关联规则 借阅服务 |
Application of data mining technology in university library information management system |
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| ZHOU Jian-hua. Application of data mining technology in university library information management system[J]. Journal of Zhengzhou Institute of Light Industry(Natural Science), 2012, 27(3): 45-48 |
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| Authors: | ZHOU Jian-hua |
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| Affiliation: | ZHOU Jian-hua(Library,Zhengzhou Univ.of Light Ind.,Zhengzhou 450002,China) |
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| Abstract: | Aiming at the problem that readers information extract stays at a realtively simple level in library,the management system lacks deep-seated information processing and data comprehensive analysis.Based on the data mining technology,through data cleaning,data integration and induction algorithm,the data mining and prediction of library information management were carried out.The practice showed that the method could mine and predict the information of the readers borrowing behaviors,demand for books and reading interest information.It could improve the library management strategy. |
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| Keywords: | data mining library information management system association rule borrowing service |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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