DocumentCode
2449072
Title
A New Association Rule for Causes and Effects Analysis
Author
Yu Zhefu ; Lu Huibiao ; Jia Chuanying
Author_Institution
Transp. & Logistics Eng. Coll., Dalian Maritime Univ., Dalian, China
fYear
2009
fDate
25-26 April 2009
Firstpage
245
Lastpage
247
Abstract
A new association rule algorithm is discussed. It is based on the weighted association rule 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 lower support and high confidence, and these association rules are greater significant in some applications.
Keywords
data mining; antecedent partial; consequent partial; weighted association rule algorithm; Algorithm design and analysis; Association rules; Cause effect analysis; Data mining; Databases; Educational institutions; Land surface temperature; Personnel; Road transportation; Surface cracks; cause; effect; high confidence; lower support; weighted association rule;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence, 2009. JCAI '09. International Joint Conference on
Conference_Location
Hainan Island
Print_ISBN
978-0-7695-3615-6
Type
conf
DOI
10.1109/JCAI.2009.36
Filename
5158985
Link To Document