Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007) Experimental Comparison of Feature Subset Selection Methods Omaha, Nebraska, USA October 28-October 31 ISBN: 0-7695-3033-8
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDMW.2007.77
In the field of machine learning and pattern recognition, feature subset selection is an important area, where many approaches have been proposed. In this paper, we choose some feature selection algorithms and analyze their performance using various datasets from public domain. We measured the number of reduced features and the improvement of learning performance with chosen feature selection methods, then evaluated and compared each method on the basis of these measurements.
Citation:
Chulmin Yun, Jihoon Yang, "Experimental Comparison of Feature Subset Selection Methods," icdmw, pp.367-372, Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007), 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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