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Urraca et al., 2017 - Google Patents
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Urraca et al., 2017 - Google Patents

Improving hotel room demand forecasting with a hybrid GA-SVR methodology based on skewed data transformation, feature selection and parsimony tuning

Urraca et al., 2017

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Document ID
10477599196044516541
Author
Urraca R
Sanz-Garcia A
Fernandez-Ceniceros J
Pernia-Espinoza A
Martinez-De-Pison F
Publication year
Publication venue
Logic Journal of the IGPL

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Snippet

This article presents a hybrid methodology in which a KDD scheme is optimized to build accurate parsimonious models. The methodology tries to find the best model by using genetic algorithms to optimize a KDD scheme formed with the following stages: feature …
Continue reading at www.researchgate.net (PDF) (other versions)

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