Uso de medidas de desempenho e de grau de interesse para análise de regras descobertas nos classificadores

Página do item simplificado
dc.contributor.advisorOmar, Nizampt_BR
dc.contributor.advisor1Latteshttp://lattes.cnpq.br/2067336430076971por
dc.contributor.authorRocha, Mauricio Rêgo Mota dapt_BR
dc.creator.Latteshttp://lattes.cnpq.br/1929670521872849por
dc.date.accessioned2016-03-15T19:38:11Z
dc.date.accessioned2020-05-28T18:08:43Z
dc.date.available2008-09-02pt_BR
dc.date.available2020-05-28T18:08:43Z
dc.date.issued2008-08-20pt_BR
dc.description.abstractThe 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.eng
dc.description.sponsorshipFundo Mackenzie de Pesquisapt_BR
dc.formatapplication/pdfpor
dc.identifier.citationROCHA, 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.por
dc.identifier.urihttp://dspace.mackenzie.br/handle/10899/24405
dc.languageporpor
dc.publisherUniversidade Presbiteriana Mackenziepor
dc.rightsAcesso Abertopor
dc.subjectdescoberta de conhecimento em banco de dadospor
dc.subjectmineração de dadospor
dc.subjectpós-processamentopor
dc.subjectclassificaçãopor
dc.subjectmedidas de avaliação de regraspor
dc.subjectknowledge discovery in databaseseng
dc.subjectdata miningeng
dc.subjectpost-processingeng
dc.subjectclassificationeng
dc.subjectrule evaluation measureseng
dc.subject.cnpqCNPQ::ENGENHARIAS::ENGENHARIA ELETRICApor
dc.thumbnail.urlhttp://tede.mackenzie.br/jspui/retrieve/3619/Mauricio%20Rego%20Mota%20da%20Rocha.pdf.jpg*
dc.titleUso de medidas de desempenho e de grau de interesse para análise de regras descobertas nos classificadorespor
dc.typeDissertaçãopor
local.contributor.board1Lima, Clodoaldo Aparecido de Moraespt_BR
local.contributor.board1Latteshttp://lattes.cnpq.br/3017337174053381por
local.contributor.board2Pimentel, Edson Pinheiropt_BR
local.contributor.board2Latteshttp://lattes.cnpq.br/6163089025212520por
local.publisher.countryBRpor
local.publisher.departmentEngenharia Elétricapor
local.publisher.initialsUPMpor
local.publisher.programEngenharia Elétricapor
Arquivos
Pacote Original
Agora exibindo 1 - 1 de 1
Imagem de Miniatura
Nome:
Mauricio Rego Mota da Rocha.pdf
Tamanho:
893.68 KB
Formato:
Adobe Portable Document Format
Descrição:
Baixar
Coleções
Engenharia Elétrica e Computação - Dissertações - EE Higienópolis