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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. https://doi.org/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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Title: Weighting machine learning solutions by economic and institutional context for decision making
Author: Alvarez-Jareño, Jose Pavía, Jose
Issued date:
Abstract:
[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 ...[+]
Subjects: web data , internet data , big data , qca , pls , sem , conference
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
ISBN: 9788490484623
Source:
CARMA 2016: 1st International Conference on Advanced Research Methods in Analytics.
DOI: 10.4995/CARMA2016.2015.4245
Publisher:
Editorial Universitat Politècnica de València
Publisher version: http://ocs.editorial.upv.es/index.php/CARMA/CARMA2016/paper/view/4245
Conference name: CARMA 2016 - 1st International Conference on Advanced Research Methods and Analytics
Conference place: Valencia, Spain
Conference date: July 06-07,2016
Type: Capítulo de libro Comunicación en congreso

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