On the feature extraction in discrete space
Yükleniyor...
Tarih
2014-05
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier Sci Ltd
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In many pattern recognition applications, feature space expansion is a key step for improving the performance of the classifier. In this paper, we (i) expand the discrete feature space by generating all orderings of values of k discrete attributes exhaustively, (ii) modify the well-known decision tree and rule induction classifiers (ID3, Quilan, 1986 [1] and Ripper, Cohen, 1995 [2]) using these orderings as the new attributes. Our simulation results on 15 datasets from UCI repository [3] show that the novel classifiers perform better than the proper ones in terms of error rate and complexity.
Açıklama
Anahtar Kelimeler
Feature extraction, Discrete space, Decision tree induction, Rule induction, Decision trees
Kaynak
Pattern Recognition
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
47
Sayı
5
Künye
Yıldız, O. T. (2014). On the feature extraction in discrete space. Pattern Recognition, 47(5), 1988-1993. doi:10.1016/j.patcog.2013.11.023
