Jihoon Yang, Asok Tiyyagura, et al.  Home/Search
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Abstract: The choice of features or attributes used to represent patterns in the synthesis of pattern classifiers using machine learning algorithms has a strong impact on the accuracy of the classifier, the number of examples needed to attain a given classification accuracy on test data, the cost of classification, and the comprehensibility of the learned classifier. This presents us with a feature subset selection problem, namely, the selection of a subset of features from a much larger candidate set of ... (Update)
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BibTeX entry: (Update)
@inproceedings{ yang99feature,
author = "Jihoon Yang and Asok Tiyyagura and Fajun Chen and Vasant Honavar",
title = "Feature Subset Selection for Rule Induction Using {RIPPER}",
booktitle = "Proceedings of the Genetic and Evolutionary Computation Conference",
volume = "2",
month = "13-17",
publisher = "Morgan Kaufmann",
address = "Orlando, Florida, USA",
editor = "Wolfgang Banzhaf and Jason Daida and Agoston E. Eiben and Max H. Garzon and Vasant Honavar and Mark Jakiela and Robert E. Smith",
isbn = "1-55860-611-4",
pages = "1800",
year = "1999",
url = "citeseer.ist.psu.edu/197483.html" }
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