The Application of Book Intelligent Recommendation Based on the Association Rule Mining of Clementine
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.
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.
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.
References
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[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