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Weighting machine learning solutions by economic and institutional context for decision making

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Weighting machine learning solutions by economic and institutional context for decision making

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Alvarez-Jareño, J.; Pavía, J. (2016). Weighting machine learning solutions by economic and institutional context for decision making. En CARMA 2016: 1st International Conference on Advanced Research Methods in Analytics. Editorial Universitat Politècnica de València. 23-30. doi:10.4995/CARMA2016.2015.4245.

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/84785

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Título: Weighting machine learning solutions by economic and institutional context for decision making
Autor:
Fecha difusión:
Resumen:
[EN] It is quite common that machine learning approaches reach high accuracy forecast rates in imbalanced datasets. However, the results in the category with few instances are usually low. This paper seeks to improve the ...[+]
Palabras clave: web data , internet data , big data , qca , pls , sem , conference
Derechos de uso: Reconocimiento - Sin obra derivada - No comercial (by-nd-nc)
ISBN: 9788490484623
Fuente:
CARMA 2016: 1st International Conference on Advanced Research Methods in Analytics.
DOI: 10.4995/CARMA2016.2015.4245
Editorial:
Editorial Universitat Politècnica de València
Versión del editor: http://ocs.editorial.upv.es/index.php/CARMA/CARMA2016/paper/view/4245
Título del congreso: CARMA 2016 - 1st International Conference on Advanced Research Methods and Analytics
Lugar del congreso: Valencia, Spain
Fecha congreso: July 06-07,2016
Tipo: Capítulo de libro Comunicación en congreso

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