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An efficient SVM-GA feature selection model for large healthcare databases
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Authors:
Rick Chow
University of South Carolina Upstate, Spartanburg, SC, USA
Wei Zhong
University of South Carolina Upstate, Spartanburg, SC, USA
Michael Blackmon
University of South Carolina Upstate, Spartanburg, SC, USA
Richard Stolz
University of South Carolina Upstate, Spartanburg, SC, USA
Marsha Dowell
University of South Carolina Upstate, Spartanburg, SC, USA
2008 Article
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Published in:
· Proceeding
GECCO '08
Proceedings of the 10th annual conference on Genetic and evolutionary computation
ACM
New York, NY
, USA
©2008
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ISBN: 978-1-60558-130-9
doi>
10.1145/1389095.1389362
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GECCO '12
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Tags:
algorithms
classifier systems
concept learning
data mining
experimentation
genetic algorithms
induction
knowledge acquisition
machine learning
optimization
parameter learning
parameter tuning
performance
support vector machines.
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