DocumentCode
2228888
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
Volume
3
fYear
2010
fDate
20-22 Aug. 2010
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location
Chengdu
ISSN
2154-7491
Print_ISBN
978-1-4244-6539-2
Type
conf
DOI
10.1109/ICACTE.2010.5579560
Filename
5579560
Link To Document