| 基于Hadoop的K—Means聚类算法在高校图书馆工作中的应用研究 |
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| 引用本文： | 李萍.基于Hadoop的K—Means聚类算法在高校图书馆工作中的应用研究[J].大学图书情报学刊,2014,32(5):35-41. |
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| 作者姓名： | 李萍 |
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| 作者单位： | 北京师范大学珠海分校,519087 |
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| 摘 要： | 文章通过使用Hadoop计算平台,以K-Means算法为例,分析其在Mahout中的并行化策略。通过对读者的借阅数据进行分析研究,应用数据挖掘技术逐步建立应用模型,有效地将数据挖掘技术与图书馆个性化服务紧密地结合在一起。
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| 关 键 词： | 数据挖掘 Hadoop 图书馆 个性化服务 Mahout Map/Reduce K-means |
Study of the application of K-Means Algorithm implemented in Hadoop Platform to the library work of colleges and universities |
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| LI Ping.Study of the application of K-Means Algorithm implemented in Hadoop Platform to the library work of colleges and universities[J].Journal of Academic Library and Information Science,2014,32(5):35-41. |
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| Authors: | LI Ping |
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| Institution: | LI Ping (Zhuhai Campus of Beijing Normal University, Zhuhai 519087, China) |
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| Abstract: | In this paper, the borrowing data of readers are analyzed and studied by taking K-Means algorithm as an example and implementing this algorithm in Hadoop calculation platform. Data mining technology is effectively and closely combined with the personalized serv~ce of library through the experimental data. |
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| Keywords: | data mining Hadoop library Mahout Map/Reduce K-Means |
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