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Journal of Library and Information Sciences in Agriculture. 2011, (09)

Application of Clustering in Segmentation Reader-Groups of University LibrariesChinese Full Text

WANG Jia-sheng(Library,Qingdao Agricultural University,Qingdao 266109,China)

Abstract: The readers’ loan item sets were got by preprocessing the initial data of readers’ loan records which were extracted from working database of college library,and clustering model was established based on Clementine 12.0.Taking Qingdao Agricultural University as a case,reader-groups were segmented by the means of clustering with the clustering model.The clustering results can reveal the demands of readers clearly,and indicate the activity of readers,and which help to optimum distribution of docum... More
Keywords：

Data mining; College library; Clustering; Segmentation of reader-groups;

  • DOI：

    10.13998/j.cnki.issn1002-1248.2011.09.033

  • Series：

    (I) Electronic Technology ＆ Information Science

  • Subject：

    Library Science and Digital Library

  • Classification Code：

    G252

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