DocumentCode
2865544
Title
Obtaining best parameter values for accurate classification
Author
Coenen, Frans ; Leng, Paul
Author_Institution
Dept. of Comput. Sci., The Univ. of Liverpool, UK
fYear
2005
fDate
27-30 Nov. 2005
Abstract
In this paper we examine the effect that the choice of support and confidence thresholds has on the accuracy of classifiers obtained by classification association rule mining. We show that accuracy can almost always be improved by a suitable choice of threshold values, and we describe a method for finding the best values. We present results that demonstrate this approach can obtain higher accuracy without the need for coverage analysis of the training data.
Keywords
data mining; pattern classification; accurate classification; best parameter value; classification association rule mining; confidence threshold; Association rules; Computer science; Costs; Data mining; Machine learning; Smoothing methods; Software testing; Training data;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Mining, Fifth IEEE International Conference on
ISSN
1550-4786
Print_ISBN
0-7695-2278-5
Type
conf
DOI
10.1109/ICDM.2005.105
Filename
1565735
Link To Document