Resumo

ESCOBAR FRANCO, Uriel  e  SANCHEZ DIAZ, Guillermo. The incremental voting algorithm INC-ALVOT for supervised classification. Rev.fac.ing.univ. Antioquia [online]. 2009, n.50, pp.195-204. ISSN 0120-6230.

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.

Palavras-chave : Clasificación supervisada; algoritmos de votación; algoritmos incrementales; Supervised classification; voting algorithms; incremental algorithms.

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