Descoberta de regras de associação com algoritmo Tertius

Authors

DOI:

https://doi.org/10.33837/msj.v1i7.334

Keywords:

Mineração de Dados, Regras de Associação, Tertius.

Abstract

O trabalho descreve os experimentos do processo de definição das regras de associação com base nas regras do desafio PhysioNet de 2012. O desafio disponibilizou uma base com 4000 pacientes com informações das últimas 48 horas de permanência em uma UTI. Na descoberta das regras de associação, agrupamos os registros por paciente e calculamos a média aritmética de cada atributo temporal. Para realizar os treinamentos utilizamos somente as primeiras 24 horas agrupadas de 6 em 6 horas. Utilizamos o algoritmo Tertius para gerar automaticamente as regras em conjunto com a ferramenta Weka.

Author Biographies

Norton Coelho Guimarães, IF Goiano

Mestre em Ciência da Computação pela UFG/INF (2015), especialista em Orientação a Objetos e Internet pela Faculdade Anhanguera - GO (2007) e graduado em Análise de Sistemas pela UNIVERSO campus Goiânia (2000). Desde 2009, docente no IF Goiano, na área de Ciência da Computação, com atuação no ensino, pesquisa e extensão.

Rosângela da Silva Nunes, Universidade Federal de Goiás

Analista de Sistemas no CERCOMP/UFG, Mestre em Engenharia Elétrica.

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Published

2018-03-18

How to Cite

Guimarães, N. C., & Nunes, R. da S. (2018). Descoberta de regras de associação com algoritmo Tertius. Multi-Science Journal, 1(7), 41–45. https://doi.org/10.33837/msj.v1i7.334

Issue

Vol. 1 No. 7 (2017)

Section

Technical Communications

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