Artículo
InstanceRank: Bringing order to datasets
Autor/es | García Vallejo, Carlos Antonio
Troyano Jiménez, José Antonio Ortega Rodríguez, Francisco Javier |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 2010 |
Fecha de depósito | 2020-08-03 |
Publicado en |
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Resumen | In this paper we present InstanceRank, a ranking algorithm that reflects the relevance of the instances
within a dataset. InstanceRank applies a similar solution to that used by PageRank, the web pages ranking
algorithm ... In this paper we present InstanceRank, a ranking algorithm that reflects the relevance of the instances within a dataset. InstanceRank applies a similar solution to that used by PageRank, the web pages ranking algorithm in the Google search engine. We also present ISR, an instance selection technique that uses InstanceRank. This algorithm chooses the most representative instances from a learning database. Experiments show that ISR algorithm, with InstanceRank as ranking criteria, obtains similar results in accuracy to other instance reduction techniques, noticeably reducing the size of the instance set. |
Agencias financiadoras | Ministerio de Educación y Ciencia (MEC). España |
Identificador del proyecto | HUM2007-66607-C04-04 |
Cita | García Vallejo, C.A., Troyano Jiménez, J.A. y Ortega Rodríguez, F.J. (2010). InstanceRank: Bringing order to datasets. Pattern Recognition Letters, 31 (2), 133-142. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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InstanceRank.pdf | 857.4Kb | [PDF] | Ver/ | |