Heuristic method for searches on large data-sets organised using network models
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http://hdl.handle.net/10045/60928
Título: | Heuristic method for searches on large data-sets organised using network models |
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Autor/es: | Ruiz-Fernandez, Daniel | Quintana Pacheco, Yuri |
Grupo/s de investigación o GITE: | Ingeniería Bioinspirada e Informática para la Salud |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Tecnología Informática y Computación |
Palabras clave: | Search process | Clustering | Cluster-based recovery | Simulated annealing |
Área/s de conocimiento: | Arquitectura y Tecnología de Computadores |
Fecha de publicación: | 2016 |
Editor: | Taylor & Francis |
Cita bibliográfica: | International Journal of Systems Science. 2016, 47(7): 1725-1733. doi:10.1080/00207721.2014.951420 |
Resumen: | Searches on large data-sets have become an important issue in recent years. An alternative, which has achieved good results, is the use of methods relying on data mining techniques, such as cluster-based retrieval. This paper proposes a heuristic search that is based on an organisational model that reflects similarity relationships among data elements. The search is guided by using quality estimators of model nodes, which are obtained by the progressive evaluation of the given target function for the elements associated with each node. The results of the experiments confirm the effectiveness of the proposed algorithm. High-quality solutions are obtained evaluating a relatively small percentage of elements in the data-sets. |
URI: | http://hdl.handle.net/10045/60928 |
ISSN: | 0020-7721 (Print) | 1464-5319 (Online) |
DOI: | 10.1080/00207721.2014.951420 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © 2014 Taylor & Francis |
Revisión científica: | si |
Versión del editor: | http://dx.doi.org/10.1080/00207721.2014.951420 |
Aparece en las colecciones: | INV - IBIS - Artículos de Revistas |
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2016_Ruiz_Quintana_IJSS_final.pdf | Versión final (acceso restringido) | 1,22 MB | Adobe PDF | Abrir Solicitar una copia |
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