DocumentCode :
402879
Title :
Mining conditional hybrid-dimension association rules on the basis of multi-dimensional transaction database
Author :
Xin, Yan ; Ju, Shi-guang
Author_Institution :
Sch. of Comput. Sci. & Telecommun. Eng., Jiangsu Univ., China
Volume :
1
fYear :
2003
fDate :
2-5 Nov. 2003
Firstpage :
216
Abstract :
In this paper, we present such an idea of mining hybrid-dimension association rules which meet the definite condition on the basis of multidimensional transaction database. First, we simply introduce the general algorithm for mining association rules. Second, we give a brief analysis about the classical algorithm for mining single-dimensional association rules. Based on the analysis, we stress on the discussion about how to expand and improve the algorithm, and then design an algorithm for mining hybrid-dimension association rules which meet the definite condition from multidimensional transaction database. Last we give a simple example to explain the implement of the algorithm.
Keywords :
data mining; database management systems; transaction processing; hybrid-dimension association rules; mining conditional; mining single-dimensional association rules; multidimensional transaction database; Algorithm design and analysis; Association rules; Computer science; Data engineering; Data mining; Itemsets; Iterative algorithms; Multidimensional systems; Space technology; Transaction databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
Type :
conf
DOI :
10.1109/ICMLC.2003.1264473
Filename :
1264473
Link To Document :
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