Classification rules obtained from evidence accumulation

Título:

Classification rules obtained from evidence accumulation

Autor:

Hasperué, Waldo

Colaboradores:

; Lanzarini, Laura Cristina

Temas:

ESTRUCTURAS DE DATOSCLUSTERING

En:

International Conference on Information Technology Interfaces (29ª : 2007 jun. 25-28 : Cavtat), pp. 167-172

Resumen:

This paper presents a machine learning approach applicable to Data Mining based on obtaining classification rules. It proposes a strategy to obtain classification rules clusters resulting a co-association matrix. Such matrix is obtained the combination of different clustering methods applied to input data, it has been selected by its result's robustness. The proposed method has been applied to two set of data obtained the UCI repository with really successful results. The results obtained in the classification have been compared to other existing methods showing the new proposed method superiority.

URL/DOI:

http://dx.doi.org/10.1109/ITI.2007.4283764

Medio:

Soporte electrónico

Tipo de documento:

Artículo

Descripción física:

1 archivo (179 KB)

Idioma:

Inglés

Publicación:

IEEE Press, 2007

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