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Computación y Sistemas
versión On-line ISSN 2007-9737versión impresa ISSN 1405-5546
Resumen
FRANCO-ARCEGA, Anilu; CARRASCO-OCHOA, Jesús Ariel; SANCHEZ-DIAZ, Guillermo y MARTINEZ-TRINIDAD, José Francisco. Decision Tree based Classifiers for Large Datasets. Comp. y Sist. [online]. 2013, vol.17, n.1, pp.95-102. ISSN 2007-9737.
In this paper, several algorithms have been developed for building decision trees from large datasets. These algorithms overcome some restrictions of the most recent algorithms in the state of the art. Three of these algorithms have been designed to process datasets described exclusively by numeric attributes, and the fourth one, for processing mixed datasets. The proposed algorithms process all the training instances without storing the whole dataset in the main memory. Besides, the developed algorithms are faster than the most recent algorithms for building decision trees from large datasets, and reach competitive accuracy rates.
Palabras llave : Decision trees; supervised classification; large datasets.