Héctor Alaiz-Moretón, Laura Fernández-Robles, Javier Alfonso-Cendón, Manuel Castejón Limas, Lidia Sánchez-González, Hilde Pérez. Data Mining Techniques for the Estimation of Variables in Health-Related Noisy Data. In Hilde Pérez García, Javier Alfonso-Cendón, Lidia Sánchez-González, Héctor Quintián, Emilio Corchado, editors, International Joint Conference SOCO'17-CISIS'17-ICEUTE'17, León, Spain, September 6-8, 2017, Proceedings. Volume 649 of Advances in Intelligent Systems and Computing, pages 482-491, Springer, 2017. [doi]
@inproceedings{Alaiz-MoretonFA17,
title = {Data Mining Techniques for the Estimation of Variables in Health-Related Noisy Data},
author = {Héctor Alaiz-Moretón and Laura Fernández-Robles and Javier Alfonso-Cendón and Manuel Castejón Limas and Lidia Sánchez-González and Hilde Pérez},
year = {2017},
doi = {10.1007/978-3-319-67180-2_47},
url = {https://doi.org/10.1007/978-3-319-67180-2_47},
researchr = {https://researchr.org/publication/Alaiz-MoretonFA17},
cites = {0},
citedby = {0},
pages = {482-491},
booktitle = {International Joint Conference SOCO'17-CISIS'17-ICEUTE'17, León, Spain, September 6-8, 2017, Proceedings},
editor = {Hilde Pérez García and Javier Alfonso-Cendón and Lidia Sánchez-González and Héctor Quintián and Emilio Corchado},
volume = {649},
series = {Advances in Intelligent Systems and Computing},
publisher = {Springer},
isbn = {978-3-319-67180-2},
}