Title :
Research and analysis of multi-dimensional association rules mining
Author :
Qin, Feng ; Yang, Xuebing
Author_Institution :
Comput. Sci. Dept., Anhui Polytech. Univ., China
Abstract :
This paper proposes two data cube based multi-dimensional association rules mining algorithms which integrate the classical association rules mining algorithm with data cube technology and presents the differences in mining efficiency between two algorithm.
Keywords :
data mining; database theory; classical association rules mining algorithm; data cube technology; data mining; two data cube based multi-dimensional association rules mining algorithms; Association rules; Automation; Computer science; Data mining; Frequency; Intelligent control;
Conference_Titel :
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN :
0-7803-7268-9
DOI :
10.1109/WCICA.2002.1020850
