TY - JOUR
T1 - Strongest association rules mining for personalized recommendation
AU - Li, Jie
AU - Xu, Yong
AU - Wang, Yun Feng
AU - Chu, Chao Hsien
N1 - Funding Information:
∗ Corresponding author: Tel: +86-22-2656-4864; E-mail: lijie@hebut.edu.cn Foundation item: Supported by the Hebei Provincial Natural Science Foundation (No.F2008000117); Hebei Provincial Key Technologies R&D Program (No.07213508D) Copyright ©c 2009, Systems Engineering Society of China. Published by Elsevier BV. All rights reserved.
PY - 2009/8
Y1 - 2009/8
N2 - The notion of strongest association rules (SAR) was proposed, a matrix-based algorithm was developed for mining SAR set. As the subset of the whole association rule set, SAR set includes much less rules with the special suitable form for personalized recommendation without information loss. With the SAR set mining algorithm, the transaction database is only scanned for once, the matrix scale becomes smaller and smaller, so that the mining efficiency is improved. Experiments with three data sets show that the number of rules in SAR set in average is only 26.2% of the total number of whole association rules, which mitigates the explosion of association rules.
AB - The notion of strongest association rules (SAR) was proposed, a matrix-based algorithm was developed for mining SAR set. As the subset of the whole association rule set, SAR set includes much less rules with the special suitable form for personalized recommendation without information loss. With the SAR set mining algorithm, the transaction database is only scanned for once, the matrix scale becomes smaller and smaller, so that the mining efficiency is improved. Experiments with three data sets show that the number of rules in SAR set in average is only 26.2% of the total number of whole association rules, which mitigates the explosion of association rules.
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U2 - 10.1016/s1874-8651(10)60064-6
DO - 10.1016/s1874-8651(10)60064-6
M3 - Article
AN - SCOPUS:70249125844
SN - 1000-6788
VL - 29
SP - 144
EP - 152
JO - Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice
JF - Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice
IS - 8
ER -