On the feature extraction in discrete space

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On the feature extraction in discrete space

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...

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ژورنال

عنوان ژورنال: Pattern Recognition

سال: 2014

ISSN: 0031-3203

DOI: 10.1016/j.patcog.2013.11.023