• The Application of Book Intelligent Recommendation Based on the Association Rule Mining of Clementine
  • DOI: 10.4236/jsea.2013.67B006   PP.30 - 33
  • Author(s)
  • Jia Lina, Mao Zhiyong
  • The traditional library can’t provide the service of personalized recommendation for users. This paper used Clementine to solve this problem. Firstly, model of K-means clustering analyze the initial data to delete the redundant data. It can avoid scanning the database repeatedly and producing a large number of false rules. Secondly, the paper used clustering results to perform association rule mining. It can obtain valuable information and achieve the service of intelligent recommendation.

  • Data Mining; Association Rules; Clustering; Intelligent Recommendation; Clementine
  • References
  • [1] C. G. Yuan, “Data Mining Theory and SPSS Clementine Application,” Beijing: Electronic industry publishing, 2009, pp.547-578

    [2] F. Y. You,“Data Mining and digital library application “Office automation magazine,2007, pp.51-52

    [3] C. H. Bao, “Data warehouse and Data Mining,” Beijing: Tsinghua University Press, 2006.

    [4] J. Han, M. Kamber, “Data Mining and Technology” M. Fan, Translator, Beijing: China Machine Press, 2001, pp.10-33.

    [5] H. Y. Chen, “Based on Weighting Association Rules and Browse Behavioral Personality,” Chongqing University, 2005.

    [6] W. Wang, “Reader Behavior Analysis Based on Data Mining,” Modern Library and information technology, 2006, pp.51-54.

    [7] H. Y. Cai, “The Application in University Library System for Data Mining about Association Rules,” NUT College Journal, 2005, pp.85-88.

    [8] W. H. Li, “Personality Information Recommend System in Digital Library,” 2007, pp.109-110.

    [9] W. W. Chen, “Data Mining Research about Reader Behavior,” Chongqing Southwest University, 2007.

    [10] B. C. Xie, “Data Mining Clementine Application,” Beijing: THU press, 2008, pp.213-215.

    [11] J. Bao, S. W. Fan, “The Data Preprocessing for Data Mining,” Library and Information Science, Vol. 26, No. 2, 2008, pp. 31-33.

    [12] Z. G. Li, G. Ma, “DW and DM Application,” Beijing: Higher Education Press, 2008, pp.150-170.

    [13] Q. H. Xiao, “Data Mining Apply in Information Server,” Library forum, Vol. 24, No. 1, 2004, pp.140-142.

    [14] B. H. Wang, “Data Mining and Application,” Statistics and decision, 2006, pp.122- 123.

    [15] X. Li, C. H. Yang, “K-means Cluster Application,” Library and information Science, Vol. 25, No. 2, 2009, pp.15-17

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Submission Due:
    April 3, 2014>>  May 14, 2014
Acceptance notification:
    May 3, 2014>>  May 23, 2014
Camera-ready due:
    May 3, 2014
    July 11-13, 2014
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