TY  - GEN
AU  - Hasperué,Waldo
AU  - Lanzarini,Laura Cristina
TI  - Classification rules obtained  from evidence accumulation
KW  - ESTRUCTURAS DE DATOS
KW  - CLUSTERING
N1  - Formato de archivo: PDF. -- Este documento es producción intelectual de la Facultad de Informática-UNLP (Colección BIPA / Biblioteca.); International Conference on Information Technology Interfaces (29ª : 2007 jun. 25-28 : Cavtat), pp. 167-172
N2  - 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
UR  - http://dx.doi.org/10.1109/ITI.2007.4283764
ER  -