Title :
A New Weighted Association Rule Suitable for Causes and Effects Analysis
Author :
Zhefu, Yu ; Huibiao, Lu ; Chuanying, Jia
Author_Institution :
Transp. & Logistics Eng. Coll., Dalian Maritime Univ., Dalian, China
Abstract :
A new weighted association rule algorithm is discussed. It is based on the mining algorithms of minwal(0) and minwal(w). The new algorithm can effectively mine the association rules which define some attributes as antecedent partial, while others as consequent partial. The new algorithm also can effectively mine the association rules with low support and high confidence, and these association rules have greater significant in some application.
Keywords :
cause-effect analysis; data mining; database management systems; causes analysis; database; effects analysis; mining algorithms; weighted association rule algorithm; Association rules; Cause effect analysis; Data mining; Databases; Educational institutions; Partial response channels; Performance analysis; Road transportation; Surface cracks; Temperature; causes and effects analysis; low support; weighted association rule;
Conference_Titel :
Future Generation Communication and Networking, 2008. FGCN '08. Second International Conference on
Conference_Location :
Hainan Island
Print_ISBN :
978-0-7695-3431-2
DOI :
10.1109/FGCN.2008.32
