Ponencia
A quantitative methodology to identify related features in data sets
Autor/es | Álvarez, Miguel Ángel
González Abril, Luis ![]() ![]() ![]() ![]() ![]() ![]() ![]() Ortega Ramírez, Juan Antonio ![]() ![]() ![]() ![]() ![]() ![]() ![]() Soria Morillo, Luis Miguel ![]() ![]() ![]() ![]() ![]() ![]() ![]() Cuberos Gallardo, Francisco José ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos Universidad de Sevilla. Departamento de Economía Aplicada I |
Fecha de publicación | 2011-06 |
Fecha de depósito | 2023-05-24 |
Publicado en |
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ISBN/ISSN | 978-84-615-5513-0 |
Resumen | In this paper, a methodology which quantifies the dependence beteen features in a data set is developed. This methodology uses the Ameva discretization algorithm. In particular, it uses the Ameva coefficient to quantify ... In this paper, a methodology which quantifies the dependence beteen features in a data set is developed. This methodology uses the Ameva discretization algorithm. In particular, it uses the Ameva coefficient to quantify the dependece. Furthermore, a new coefficient called entropy has been proposed for cases where it is not possible to apply the Ameva discretization algorithm. Thus, different matrices of inter-dependence are built provinding a grade of dependence between two features. Finally, to verify the qualitiews of this methodology, a simple method to discard features base don it is applied to a well-known data set in a classification process and promising results for the carried out system are obtained. |
Agencias financiadoras | Ministerio de Ciencia e Innovación (MICIN). España |
Identificador del proyecto | TIN2009-14378-C02-01
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Cita | Álvarez, M.Á., González Abril, L., Ortega Ramírez, J.A., Soria Morillo, L.M. y Cuberos Gallardo, F.J. (2011). A quantitative methodology to identify related features in data sets. En XIII Jornadas de ARCA: Sistemas Cualitativos y sus Aplicaciones en Diagnosis, Robótica e Inteligencia Ambiental (JARCA 2011) (39-43), Huelva, España: Universidad de Sevilla. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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A quantitative methodology.pdf | 4.714Mb | ![]() | Ver/ | |