DocumentCode
3195956
Title
Association rules mining algorithm based on Rough Set
Author
Xun Jiao ; Xu Lian-cheng ; Qi Lin
Author_Institution
Sch. of Inf. Sci. & Eng., Shandong Normal Univ., Jinan, China
Volume
1
fYear
2012
fDate
3-5 Aug. 2012
Firstpage
361
Lastpage
364
Abstract
Association rules mining algorithm based on Rough Set theory is put forward using the idea of Rough Set theory, which applies the improved Apriori algorithm in association rules mining on the basis of Decision Table. The advantage of this method lies in three aspects, including the elimination of redundancy attributes, reducing the number of attributes, while scanning Decision Table just once can produce decision attribute sets. Application example analysis shows that this is an effective and fast data mining method.
Keywords
data mining; decision tables; rough set theory; application example analysis; apriori algorithm; association rules mining algorithm; decision attribute sets; decision table; rough set theory; Computers; Association rules mining; Decision Table; Rough Set; redundancy attributes;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology in Medicine and Education (ITME), 2012 International Symposium on
Conference_Location
Hokodate, Hokkaido
Print_ISBN
978-1-4673-2109-9
Type
conf
DOI
10.1109/ITiME.2012.6291318
Filename
6291318
Link To Document