Uso de medidas de desempenho e de grau de interesse para análise de regras descobertas nos classificadores
Tipo
Dissertação
Data de publicação
2008-08-20
Periódico
Citações (Scopus)
Autores
Rocha, Mauricio Rêgo Mota da
Orientador
Omar, Nizam
Título da Revista
ISSN da Revista
Título de Volume
Membros da banca
Lima, Clodoaldo Aparecido de Moraes
Pimentel, Edson Pinheiro
Pimentel, Edson Pinheiro
Programa
Engenharia Elétrica
Resumo
The process of knowledge discovery in databases has become necessary because of the large amount of data currently stored in databases of companies. They operated properly can help the managers in decision-making in organizations. This process is composed of several steps, among them there is a data mining, stage where they are applied techniques for obtaining knowledge that can not be obtained through traditional methods of analysis. In addition to the technical, in step of data mining is also chosen the task of data mining that will be used. The data mining usually produces large amount of rules that often are not important, relevant or interesting to the end user. This makes it necessary to review the knowledge discovered in post-processing of data. In the stage of post-processing is used both measures of performance but also of degree of interest in order to sharpen
the rules more interesting, useful and relevant. In this work, using a tool called WEKA (Waikato Environment for Knowledge
Analysis), were applied techniques of mining, decision trees and rules of classification by the classification algorithms J48.J48 and J48.PART respectively. In the post-processing data was implemented a package with functions and procedures for calculation of both measures of performance but also of the degree of interest rules. At this stage consultations have also been developed (querys) to select the
most important rules in accordance with measures of performance and degree of interest.
Descrição
Palavras-chave
descoberta de conhecimento em banco de dados , mineração de dados , pós-processamento , classificação , medidas de avaliação de regras , knowledge discovery in databases , data mining , post-processing , classification , rule evaluation measures
Assuntos Scopus
Citação
ROCHA, Mauricio Rêgo Mota da. Uso de medidas de desempenho e de grau de interesse para análise de regras descobertas nos classificadores. 2008. 118 f. Dissertação (Mestrado em Engenharia Elétrica) - Universidade Presbiteriana Mackenzie, São Paulo, 2008.