DocumentCode
498689
Title
Mining Association and Correlation Patterns Simultaneously in Database
Author
Zhang, Jianlin ; Zou, Wensheng
Author_Institution
Sch. of Software, Nanchang Univeristy, Nanchang, China
Volume
1
fYear
2009
fDate
10-11 July 2009
Firstpage
526
Lastpage
529
Abstract
Data mining aims to discover useful patterns (rules) in large datasets. In order to enhance the interestingness of the patterns produced, we propose an algorithm to mine both association and correlation patterns among items. In the mining process the all-confidence and correlation-confidence measures are adopted simultaneously. The effectiveness of the proposed approach is demonstrated with the experiment results on some real data sets.
Keywords
data mining; database management systems; correlation patterns; correlation-confidence measures; data mining; database; mining association; Association rules; Bonding; Data analysis; Data engineering; Data mining; Databases; Electronic mail; Marketing and sales; Process control; Statistical analysis; association rule; correlation pattern; correlation-confidence; data mining; database;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Engineering, 2009. ICIE '09. WASE International Conference on
Conference_Location
Taiyuan, Shanxi
Print_ISBN
978-0-7695-3679-8
Type
conf
DOI
10.1109/ICIE.2009.66
Filename
5211503
Link To Document