Title :
Mining Association Rules in Distributed System
Author :
Li, Zou ; Xu, Liang
Author_Institution :
Software Inst., Dalian Jiaotong Univ., Dalian
Abstract :
This study aims to introduce an algorithm of mining association rules in distributed system based on AprTidRec. The validity of the AprTidRec algorithm is verified by the experiment compared with the Apriori algorithm. Two solutions for the realization of the overall system are presented. One uses the communication mode of local-local to balance the burden of local websites the other uses the mode of local-global to reduce the cost of communication among local websites. The latter realizes the totally asynchrony among local websites but has a strict qualification of the global website.
Keywords :
data mining; Apriori algorithm; association rules; data mining; distributed system; Association rules; Computer science; Computer science education; Costs; Data mining; Distributed databases; Educational technology; Itemsets; Partitioning algorithms; Transaction databases; association rules; confidence; data mining; distributed system; support;
Conference_Titel :
Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-1-4244-3581-4
DOI :
10.1109/ETCS.2009.499
