Title :
Mining association rules based on cloud model and application in prediction
Author :
Yongqing, Tian ; Yingjun, Weng ; Zhongying, Zhu
Author_Institution :
Dept. of Autom., Shanghai Jiao Tong Univ., China
Abstract :
Mining association rules in large relational databases containing both quantitative and categorical attributes is important. The article proposes an approach for mining quantitative association rules. It gives the definition of the cloud model association rules and also presents an efficient algorithm Cloud Model A, and presents an application in prediction.
Keywords :
data mining; prediction theory; relational databases; Cloud Model A; association rule mining; categorical attributes; cloud model; data mining; prediction; quantitative attributes; relational databases; Association rules; Automation; Clouds; Data mining; Predictive models; Relational databases;
Conference_Titel :
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN :
0-7803-7268-9
DOI :
10.1109/WCICA.2002.1021478
