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
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;
Conference_Titel :
Information Technology in Medicine and Education (ITME), 2012 International Symposium on
Conference_Location :
Hokodate, Hokkaido
Print_ISBN :
978-1-4673-2109-9
DOI :
10.1109/ITiME.2012.6291318