• 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
  • ABSTRACT
  • 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.

  • KEYWORDS
  • Data Mining; Association Rules; Clustering; Intelligent Recommendation; Clementine
  • References
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