Improving hotel room demand forecasting with a hybrid GA-SVR methodology based on skewed data transformation, feature selection and parsimony tuning
Year of publication
2017
Authors
Urraca, Ruben; Sanz-Garcia, Andres; Fernandez-Ceniceros, Julio; Pernia-Espinoza, Alpha; Javier Martinez-De-Pison, Francisco
Organizations and authors
University of Helsinki
Sanz-Garcia Andres
Publication type
Publication format
Article
Parent publication type
Journal
Article type
Original article
Audience
ScientificPeer-reviewed
Peer-ReviewedMINEDU's publication type classification code
A1 Journal article (refereed), original researchPublication channel information
Journal/Series
Parent publication name
Volume
25
Issue
6
Pages
877-889
ISSN
Publication forum
Publication forum level
1
Open access
Open access in the publisher’s service
No
Self-archived
No
Other information
Fields of science
Mathematics; Computer and information sciences
Keywords
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Publication country
United Kingdom
Internationality of the publisher
International
Language
English
International co-publication
Yes
Co-publication with a company
No
DOI
10.1093/jigpal/jzx029
The publication is included in the Ministry of Education and Culture’s Publication data collection
Yes