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
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