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Title: The incremental voting algorithm INC-ALVOT for supervised classification [Algoritmo de votación incremental INC-ALVOT para clasificación supervisada]
Author: Franco, U.E.
Diaz, G.S.
Issue Date: 2009
Abstract: In this paper, an incremental supervised classifier called INC-ALVOT (incremental voting algorithm) is presented. This algorithm allows handle mixed data sets which do not keep in main memory. Besides, it allows that when the classification of a goal object was realize, new objects are incorporated in original database, carrying out a minimal operations for the classification of goal object with the expanded data set. Result obtained with the proposed algorithm and classical ALVOT algorithm on different real data sets is presented.
Appears in Collections:Producción científica UdeG (prueba)

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