Title :
A Sampling Algorithm for Mining Association Rules in Distributed Database
Author :
Yue-Mei, Shi ; Guo-Hua, Hu
Author_Institution :
Dept. of Comput., Xinzhou Teachers´´ Univ., Xinzhou, China
Abstract :
This paper introduces SMA, a sampling algorithm for mining association rules in distributed database. SMA adopts two-way sampling technique in every website and amalgamates those local samples into a sampling dataset. In an empirical study, SMA was able to accelerate the speed and improve the accuracy of mining association rules in distributed database.
Keywords :
data mining; distributed databases; sampling methods; SMA; association rules mining; distributed database; sampling algorithm; Acceleration; Association rules; Costs; Data mining; Distributed computing; Distributed databases; Frequency division multiaccess; Itemsets; Sampling methods; Transaction databases; association rules; distributed database; sampling;
Conference_Titel :
Database Technology and Applications, 2009 First International Workshop on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3604-0
DOI :
10.1109/DBTA.2009.110
