Title :
An multi-process association rules mining algorithm based on message queue
Author :
Ruzhi, Xu ; Sai, Yang ; Chao, Yang ; Junwei, Jiang ; Cheng, Liu
Author_Institution :
Dept. of Comput. & Inf. Eng., Shandong Univ. of Finance, Jinan, China
Abstract :
The issue of association rules mining is deeply discussed in this paper. An association rules mining algorithm based on message queue is presented after summarizing the advantages and disadvantages of current mining algorithms. This method firstly uses process management component to create the processes of mining association rules and then uses the message queue to communicate the frequent itemsets of every process to improve the parallel processing capability. The principle and steps of this method are given, the experimental results show that the algorithm is efficient and effective.
Keywords :
data mining; parallel algorithms; message queue; multiprocess association rules mining algorithm; parallel processing capability; process management component; Irrigation; Itemsets; Association Rules; Data Mining; Message Queue; Process Management;
Conference_Titel :
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6539-2
DOI :
10.1109/ICACTE.2010.5579560