DocumentCode :
3436454
Title :
Contrasting the Contrast Sets: An Alternative Approach
Author :
Satsangi, Amit ; Zaïane, Osmar R.
Author_Institution :
Univ. of Alberta, Edmonton
fYear :
2007
fDate :
6-8 Sept. 2007
Firstpage :
114
Lastpage :
119
Abstract :
The need to identify significant differences between contrasting groups or classes is ubiquitous and thus was the focus of many statisticians and data miners. Contrast sets, conjunctions of attribute-value pairs significantly more frequent in one group than another, were proposed to describe such differences, which lead to the introduction of a new data mining technique - contrast-set mining. A number of attempts have been made in this regard by various authors; however, no clear picture seems to have emerged. In this paper, we try to address the problem of finding meaningful contrast sets by using association rule based analysis. We present the results for our experiments for interesting contrast sets and compare these results with those obtained from the well-known algorithm for contrast sets-STUCCO.
Keywords :
data mining; set theory; association rule based analysis; attribute-value pairs; contrast sets; contrast-set mining; contrasting groups; data mining technique; Association rules; Data analysis; Data mining; Databases; Diseases; Engineering profession; Error correction; Filters; Pervasive computing; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Database Engineering and Applications Symposium, 2007. IDEAS 2007. 11th International
Conference_Location :
Banff, Alta.
ISSN :
1098-8068
Print_ISBN :
978-0-7695-2947-9
Type :
conf
DOI :
10.1109/IDEAS.2007.4318095
Filename :
4318095
Link To Document :
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