Juan J. Ruiz-Aguilar, Ignacio J. Turias, María Jesús Jiménez-Come, M. Mar Cerbán. Hybrid Approaches of Support Vector Regression and SARIMA Models to Forecast the Inspections Volume. In Marios M. Polycarpou, André Carlos Ponce Leon Ferreira de Carvalho, Jeng-Shyang Pan, Michal Wozniak, Héctor Quintián, Emilio Corchado, editors, Hybrid Artificial Intelligence Systems - 9th International Conference, HAIS 2014, Salamanca, Spain, June 11-13, 2014. Proceedings. Volume 8480 of Lecture Notes in Computer Science, pages 502-514, Springer, 2014. [doi]
@inproceedings{Ruiz-AguilarTJC14,
title = {Hybrid Approaches of Support Vector Regression and SARIMA Models to Forecast the Inspections Volume},
author = {Juan J. Ruiz-Aguilar and Ignacio J. Turias and María Jesús Jiménez-Come and M. Mar Cerbán},
year = {2014},
doi = {10.1007/978-3-319-07617-1_44},
url = {http://dx.doi.org/10.1007/978-3-319-07617-1_44},
researchr = {https://researchr.org/publication/Ruiz-AguilarTJC14},
cites = {0},
citedby = {0},
pages = {502-514},
booktitle = {Hybrid Artificial Intelligence Systems - 9th International Conference, HAIS 2014, Salamanca, Spain, June 11-13, 2014. Proceedings},
editor = {Marios M. Polycarpou and André Carlos Ponce Leon Ferreira de Carvalho and Jeng-Shyang Pan and Michal Wozniak and Héctor Quintián and Emilio Corchado},
volume = {8480},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-319-07616-4},
}