DATA MINING AND MACHINE LEARNING: AN OVERVIEW OF CLASSIFIERS

Ciência E Natura

Endereço:
Revista Ciência e Natura | Campus Sede-Cidade Universitária | Av. Roraima nº 1000, Prédio 13, Sala 1122 | Fone/Fax +55(55) 3220-8735 | Bairro Camobi
Santa Maria / RS
97105-900
Site: http://www.ufsm.br/cienciaenatura
Telefone: (55) 3220-8735
ISSN: 2179-460X
Editor Chefe: Marcelo Barcellos da Rosa
Início Publicação: 30/11/1979
Periodicidade: Quadrimestral

DATA MINING AND MACHINE LEARNING: AN OVERVIEW OF CLASSIFIERS

Ano: 2015 | Volume: 37 | Número: 2
Autores: Mehri Haghighi
Autor Correspondente: Mehri Haghighi | [email protected]

Palavras-chave: machine learning, classification, support vector machine, decision tree,k-nearst neibora, bagging, boosting

Resumos Cadastrados

Resumo Inglês:

At the same time of information age, digital revolution has made necessary using some of technologies to analyze most of essential information. Data mining is a technique to make sense to the available data. The aim of data mining is extracting the information from a vast volume of data and transforming them into a comprehensible form for human. For this purpose, machine learning methods are used to classify data. In this study, we discuss six popular and useful classifiers in the data mining process.