TITLE:
The Application of Book Intelligent Recommendation Based on the Association Rule Mining of Clementine
AUTHORS:
Jia Lina, Mao Zhiyong
KEYWORDS:
Data Mining; Association Rules; Clustering; Intelligent Recommendation; Clementine
JOURNAL NAME:
Journal of Software Engineering and Applications,
Vol.6 No.7B,
October
23,
2013
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.