Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Conference Paper
%1 conf/hais/Urraca-ValleSFS15
%A Urraca, Rubén
%A Sanz-García, Andrés
%A Fernández-Ceniceros, Julio
%A Sodupe-Ortega, Enrique
%A de Pisón Ascacibar, Francisco J. Martínez
%B HAIS
%D 2015
%E Onieva, Enrique
%E Santos, Igor
%E Osaba, Eneko
%E Quintián, Héctor
%E Corchado, Emilio
%I Springer
%K dblp
%P 632-643
%T Improving Hotel Room Demand Forecasting with a Hybrid GA-SVR Methodology Based on Skewed Data Transformation, Feature Selection and Parsimony Tuning.
%U http://dblp.uni-trier.de/db/conf/hais/hais2015.html#Urraca-ValleSFS15
%V 9121
%@ 978-3-319-19643-5
@inproceedings{conf/hais/Urraca-ValleSFS15,
added-at = {2022-04-09T00:00:00.000+0200},
author = {Urraca, Rubén and Sanz-García, Andrés and Fernández-Ceniceros, Julio and Sodupe-Ortega, Enrique and de Pisón Ascacibar, Francisco J. Martínez},
biburl = {https://www.bibsonomy.org/bibtex/2adef16115e25f1a44ffe678b1fb38d5b/dblp},
booktitle = {HAIS},
crossref = {conf/hais/2015},
editor = {Onieva, Enrique and Santos, Igor and Osaba, Eneko and Quintián, Héctor and Corchado, Emilio},
ee = {https://doi.org/10.1007/978-3-319-19644-2_52},
interhash = {cab37bc8715882f80e8cc4f86efc06d5},
intrahash = {adef16115e25f1a44ffe678b1fb38d5b},
isbn = {978-3-319-19643-5},
keywords = {dblp},
pages = {632-643},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
timestamp = {2024-04-10T14:14:38.000+0200},
title = {Improving Hotel Room Demand Forecasting with a Hybrid GA-SVR Methodology Based on Skewed Data Transformation, Feature Selection and Parsimony Tuning.},
url = {http://dblp.uni-trier.de/db/conf/hais/hais2015.html#Urraca-ValleSFS15},
volume = 9121,
year = 2015
}