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