Data Mining for Obtaining the Degree of Complexity of Lawsuits

Detalhes bibliográficos
Autor(a) principal: Lima da Silva, Maria Gabriely
Data de Publicação: 2021
Outros Autores: da Silva, Marcos Pereira, Marques da Silva, Matheus Henrique, Teixeira, Diego Andrade
Tipo de documento: Artigo
Idioma: por
Título da fonte: Revista de Engenharia e Pesquisa Aplicada
Texto Completo: http://revistas.poli.br/index.php/repa/article/view/1755
Resumo: The use of data mining techniques has been widely used in various contexts of society, among them the context of legal proceedings. This project aims to analyze legal data in order to solve questions regarding the complexity of lawsuits and their distribution. The current system responsible for performing this distribution of lawsuits is the System for the Automation of Justice (SAJ), in which the degree of complexity for the lawsuits is determined, but most of the time this complexity is not correct and the party responsible for the lawsuit needs to change the complexity after a review. Thus, this project consists in applying classification and grouping techniques to obtain the degree of complexity of the lawsuits. The results were quite satisfactory for the determined scenarios, obtaining evaluation metrics with values higher than 73%.
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spelling Data Mining for Obtaining the Degree of Complexity of LawsuitsMineração de Dados para Obtenção do Grau de Complexidade de Processos JudiciaisThe use of data mining techniques has been widely used in various contexts of society, among them the context of legal proceedings. This project aims to analyze legal data in order to solve questions regarding the complexity of lawsuits and their distribution. The current system responsible for performing this distribution of lawsuits is the System for the Automation of Justice (SAJ), in which the degree of complexity for the lawsuits is determined, but most of the time this complexity is not correct and the party responsible for the lawsuit needs to change the complexity after a review. Thus, this project consists in applying classification and grouping techniques to obtain the degree of complexity of the lawsuits. The results were quite satisfactory for the determined scenarios, obtaining evaluation metrics with values higher than 73%.O uso de técnicas de mineração de dados vem sendo amplamente utilizado em diversos contextos da sociedade, entre eles o contexto de processos jurídicos. Esse projeto tem como objetivo analisar dados jurídicos, a fim de resolver questões de complexidade dos processos judiciais e sua distribuição. O atual sistema responsável para realizar essa distribuição de processos é o Sistema de Automação da Justiça (SAJ), neste sistema é determinado o grau de complexidade para os processos judiciais, porém na maioria das vezes esta complexidade não é correta e a parte responsável pelo processo necessita alterar a complexidade após uma revisão. Dessa forma, este projeto consiste em aplicar técnicas de classificação e agrupamento para obtenção do grau de complexidade dos processos judiciais. Os resultados foram bastante satisfatórios para os cenários determinados, obtendo métricas de avaliação com valor superior à 73%.Escola Politécnica de Pernambuco2021-11-19info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlhttp://revistas.poli.br/index.php/repa/article/view/1755Journal of Engineering and Applied Research; Vol 6 No 5 (2021): Edição Especial em Ciência de Dados e Analytics; 56-64Revista de Engenharia e Pesquisa Aplicada; v. 6 n. 5 (2021): Edição Especial em Ciência de Dados e Analytics; 56-642525-425110.25286/repa.v6i5reponame:Revista de Engenharia e Pesquisa Aplicadainstname:Universidade Federal de Pernambuco (UFPE)instacron:UFPEporhttp://revistas.poli.br/index.php/repa/article/view/1755/782http://revistas.poli.br/index.php/repa/article/view/1755/783Copyright (c) 2021 Maria Gabriely Lima da Silva, Marcos Pereira da Silva, Matheus Henrique Marques da Silva, Diego Andrade Teixeirahttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessLima da Silva, Maria Gabrielyda Silva, Marcos PereiraMarques da Silva, Matheus HenriqueTeixeira, Diego Andrade2021-11-25T12:22:35Zoai:ojs.poli.br:article/1755Revistahttp://revistas.poli.br/index.php/repaONGhttp://revistas.poli.br/index.php/repa/oai||repa@poli.br2525-42512525-4251opendoar:2021-11-25T12:22:35Revista de Engenharia e Pesquisa Aplicada - Universidade Federal de Pernambuco (UFPE)false
dc.title.none.fl_str_mv Data Mining for Obtaining the Degree of Complexity of Lawsuits
Mineração de Dados para Obtenção do Grau de Complexidade de Processos Judiciais
title Data Mining for Obtaining the Degree of Complexity of Lawsuits
spellingShingle Data Mining for Obtaining the Degree of Complexity of Lawsuits
Lima da Silva, Maria Gabriely
title_short Data Mining for Obtaining the Degree of Complexity of Lawsuits
title_full Data Mining for Obtaining the Degree of Complexity of Lawsuits
title_fullStr Data Mining for Obtaining the Degree of Complexity of Lawsuits
title_full_unstemmed Data Mining for Obtaining the Degree of Complexity of Lawsuits
title_sort Data Mining for Obtaining the Degree of Complexity of Lawsuits
author Lima da Silva, Maria Gabriely
author_facet Lima da Silva, Maria Gabriely
da Silva, Marcos Pereira
Marques da Silva, Matheus Henrique
Teixeira, Diego Andrade
author_role author
author2 da Silva, Marcos Pereira
Marques da Silva, Matheus Henrique
Teixeira, Diego Andrade
author2_role author
author
author
dc.contributor.author.fl_str_mv Lima da Silva, Maria Gabriely
da Silva, Marcos Pereira
Marques da Silva, Matheus Henrique
Teixeira, Diego Andrade
description The use of data mining techniques has been widely used in various contexts of society, among them the context of legal proceedings. This project aims to analyze legal data in order to solve questions regarding the complexity of lawsuits and their distribution. The current system responsible for performing this distribution of lawsuits is the System for the Automation of Justice (SAJ), in which the degree of complexity for the lawsuits is determined, but most of the time this complexity is not correct and the party responsible for the lawsuit needs to change the complexity after a review. Thus, this project consists in applying classification and grouping techniques to obtain the degree of complexity of the lawsuits. The results were quite satisfactory for the determined scenarios, obtaining evaluation metrics with values higher than 73%.
publishDate 2021
dc.date.none.fl_str_mv 2021-11-19
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
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dc.identifier.uri.fl_str_mv http://revistas.poli.br/index.php/repa/article/view/1755
url http://revistas.poli.br/index.php/repa/article/view/1755
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv http://revistas.poli.br/index.php/repa/article/view/1755/782
http://revistas.poli.br/index.php/repa/article/view/1755/783
dc.rights.driver.fl_str_mv http://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
text/html
dc.publisher.none.fl_str_mv Escola Politécnica de Pernambuco
publisher.none.fl_str_mv Escola Politécnica de Pernambuco
dc.source.none.fl_str_mv Journal of Engineering and Applied Research; Vol 6 No 5 (2021): Edição Especial em Ciência de Dados e Analytics; 56-64
Revista de Engenharia e Pesquisa Aplicada; v. 6 n. 5 (2021): Edição Especial em Ciência de Dados e Analytics; 56-64
2525-4251
10.25286/repa.v6i5
reponame:Revista de Engenharia e Pesquisa Aplicada
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reponame_str Revista de Engenharia e Pesquisa Aplicada
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