Genetic Programming for Feature Ranking in Classification Problems
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InProceedings{DBLP:conf/seal/NeshatianZA08,
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author = "Kourosh Neshatian and Mengjie Zhang and
Peter Andreae",
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title = "Genetic Programming for Feature Ranking in
Classification Problems",
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booktitle = "Proceedings of the 7th International Conference on
Simulated Evolution And Learning (SEAL '08)",
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year = "2008",
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editor = "Xiaodong Li and Michael Kirley and Mengjie Zhang and
David G. Green and Victor Ciesielski and
Hussein A. Abbass and Zbigniew Michalewicz and Tim Hendtlass and
Kalyanmoy Deb and Kay Chen Tan and
J{\"u}rgen Branke and Yuhui Shi",
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volume = "5361",
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series = "Lecture Notes in Computer Science",
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pages = "544--554",
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address = "Melbourne, Australia",
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month = dec # " 7-10",
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publisher = "Springer",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-3-540-89693-7",
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DOI = "doi:10.1007/978-3-540-89694-4_55",
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abstract = "Feature ranking (FR) provides a measure of usefulness
for the attributes of a classification task. Most
existing FR methods focus on the relevance of a single
feature to the class labels. Here, we use GP to see how
a set of features can contribute towards discriminating
different classes and then we score the participating
features accordingly. The scoring mechanism is based on
the frequency of appearance of each feature in a
collection of GP programs and the fitness of those
programs. Our results show that the proposed FR method
can detect important features of a problem. A variety
of different classifiers restricted to just a few of
these high-ranked features work well. The ranking
mechanism can also shrink the search space of size
O(2**n) of subsets of features to a search space of
size O(n) in which there are points that may improve
the classification performance.",
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bibsource = "DBLP, http://dblp.uni-trier.de",
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notes = "Features selected by GP fed into: J48 (C4.5), naive
Bayes, SMO SVM (Weka, Java). p552 oerformance does
_not_ improve montonically with additional (lower
ranked) features.",
- }
Genetic Programming entries for
Kourosh Neshatian
Mengjie Zhang
Peter Andreae
Citations