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 JSEA  Vol.6 No.7 B , July 2013
The Application of Book Intelligent Recommendation Based on the Association Rule Mining of Clementine
Jia Lina*, Mao Zhiyong
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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
Cite this paper: J. Lina and M. Zhiyong, "The Application of Book Intelligent Recommendation Based on the Association Rule Mining of Clementine," Journal of Software Engineering and Applications, Vol. 6 No. 7, 2013, pp. 30-33. doi: 10.4236/jsea.2013.67B006.
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