DocumentCode :
3274594
Title :
Association rules expand technology research based on attributes
Author :
Zhang Chun-Sheng ; Zhuang Li-yan
Author_Institution :
Coll. of Comput. Sci. & Technol., Inner Mongolia Univ. For Nat. Springfield, Tongliao, China
fYear :
2013
fDate :
23-25 May 2013
Firstpage :
133
Lastpage :
135
Abstract :
In recent years, extension data mining technology research have arisen. However, the current extension data mining research only for the association rules proposition to simple mathematical transformation, not a fundamental breakthrough in the meaning of the original proposition. In view of the insufficiency of the current extension data mining research, this paper proposes association rules expand data mining technology based on attributes. Departure from the association rules, through the attribute expansion of rules to form a number of dimension tables. With a quick scan of the attributes in the dimension table, get deeper hidden association rules.
Keywords :
data mining; research and development; association rules; dimension tables; extension data mining technology research; rule attribute expansion; technology research; Business; Data mining; Springs; association rules; attribute; data mining; expand;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering and Service Science (ICSESS), 2013 4th IEEE International Conference on
Conference_Location :
Beijing
ISSN :
2327-0586
Print_ISBN :
978-1-4673-4997-0
Type :
conf
DOI :
10.1109/ICSESS.2013.6615272
Filename :
6615272
Link To Document :
بازگشت