DocumentCode :
389257
Title :
Mining association rule oriented data cube and its application
Author :
Shi, Hong ; Ji-Fu Zhang ; Zheng, Liann
Author_Institution :
Dept of Comput. Sci. & Eng., Taiyuan Heavy Machinery Inst., China
Volume :
2
fYear :
2002
fDate :
2002
Firstpage :
705
Abstract :
The data warehouses oriented data mining is one of the hot studies in the data mining field, which can improve the mining efficiency, and simplify the mining process. At present some effective platforms for mining have been proposed, but those are versatile and are not aimed at the characteristic of a particular mining task, and thus restrict the mining efficiency. For the question of mining association rules, we present a model of a mining association rule oriented data cube through analyzing the characteristic of the mining association rule and OLAP. The model has been proved correct and feasible by analyzing an application example.
Keywords :
data mining; data models; OLAP; association rule oriented data cube; data warehouses oriented data mining; model analysis; question analysis; Application software; Association rules; Clustering algorithms; Data analysis; Data engineering; Data mining; Data warehouses; Interference; Multidimensional systems; Synthetic aperture sonar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7508-4
Type :
conf
DOI :
10.1109/ICMLC.2002.1174439
Filename :
1174439
Link To Document :
بازگشت