Opened Access Wrapper for Ranking Feature Selection

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Autor: Ruiz Sánchez, Roberto
Aguilar Ruiz, Jesús Salvador
Riquelme Santos, José Cristóbal
Departamento: Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos
Fecha: 2004
Publicado en: Intelligent Data Engineering and Automated Learning – IDEAL 2004, Lecture Notes in Computer Science, Volume 3177, pp 384-389 (2004)
Tipo de documento: Capítulo de Libro
Resumen: We propose a new feature selection criterion not based on calculated measures between attributes, or complex and costly distance calculations. Applying a wrapper to the output of a new attribute ranking method, we obtain a minimum subset with the same error rate as the original data. The experiments were compared to two other algorithms with the same results, but with a very short computation time.
Tamaño: 139.7Kb
Formato: PDF

URI: http://hdl.handle.net/11441/39693

DOI: http://dx.doi.org/10.1007/978-3-540-28651-6_56

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