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
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;
Conference_Titel :
Artificial Intelligence, 2009. JCAI '09. International Joint Conference on
Conference_Location :
Hainan Island
Print_ISBN :
978-0-7695-3615-6
DOI :
10.1109/JCAI.2009.36
