DocumentCode :
468273
Title :
Multi-relational Association Rule Mining with Guidance of User
Author :
Guo, Jingfeng ; Bian, Weifeng ; Li, Jing
Author_Institution :
Yanshan Univ., Qinhuangdao
Volume :
2
fYear :
2007
fDate :
24-27 Aug. 2007
Firstpage :
704
Lastpage :
709
Abstract :
A multi-relational association rule mining algorithm with guidance of the user is proposed in this paper. A tuple ID propagation approach is used to solve the association rule mining with multiple database relations directly, and introduces the concept of the user´s guidance in this paper. The approach has improved user´s satisfaction with the mining result. Compared with the traditional algorithms, it improves the accuracy and supports multi-relational databases directly, so its running time is less than that of the multi-relational association rule mining methods based on ILP.
Keywords :
data mining; relational databases; ILP; multirelational association rule mining; tuple ID propagation approach; user guidance; Association rules; Classification tree analysis; Data analysis; Data engineering; Data mining; Educational institutions; Electronic mail; Information science; Regression tree analysis; Relational databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2874-8
Type :
conf
DOI :
10.1109/FSKD.2007.417
Filename :
4406167
Link To Document :
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