1766 search results - page 13 / 354 » Classifier Selection Based on Data Complexity Measures |
DEXAW
1999
IEEE
13 years 11 months ago
1999
IEEE
The results of knowledge discovery in databases could vary depending on the data mining method. There are several ways to select the most appropriate data mining method dynamicall...
SDM
2008
SIAM
13 years 8 months ago
2008
SIAM
In this paper we propose and test the use of hierarchical clustering for feature selection. The clustering method is Ward's with a distance measure based on GoodmanKruskal ta...
KDD
2002
ACM
14 years 7 months ago
2002
ACM
Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...
EUSFLAT
2003
13 years 8 months ago
2003
This paper deals with a problem of multicriteria selection assuming uncertainties including linguistic modifiers both in given data and in queries referring to these data. An app...
IJCNN
2007
IEEE
14 years 1 months ago
2007
IEEE
Abstract - We discuss an ensemble-of-classifiers based algorithm for the missing feature problem. The proposed approach is inspired in part by the random subspace method, and in pa...