Study of the Use of Data Mining in Modeling Non-standard Processes in a Higher Education Institution
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1007/978-3-030-56920-4_27 http://hdl.handle.net/11449/221623 |
Resumo: | Business process management (BPM) is an administration discipline to design, improve and manage processes, and consists of several phases. One of them is the modeling of the current process (as is), during which the process is mapped as it is. One tool that can be used in the process discovery and modeling phase is data mining in information systems. Data mining techniques allow a series of applications in organizations, either as a verification process or as a discovery process. The purpose of this article is to analyze the use of data mining in the modeling stage of complex and not well structured processes when applying BPM to improve processes at a Federal Institute of Higher Education in Brazil. Due to the fact that the nature of the products and services requested in the institute’s system is very varied, the processes are not standardized, and the use of the information system is not done in a disciplined way, data mining was not enough to identify the complete processes and the flow of activities in detail. Although it was not enough, data mining facilitated the definition of instance flows and made it possible to detect critical points in the process, such as points with a long duration of time. With data mining, the analysis time, meetings and modeling effort of the analysts and users were reduced. |
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Study of the Use of Data Mining in Modeling Non-standard Processes in a Higher Education InstitutionBPMBusiness process managementData miningHigher educationNon-standard processesBusiness process management (BPM) is an administration discipline to design, improve and manage processes, and consists of several phases. One of them is the modeling of the current process (as is), during which the process is mapped as it is. One tool that can be used in the process discovery and modeling phase is data mining in information systems. Data mining techniques allow a series of applications in organizations, either as a verification process or as a discovery process. The purpose of this article is to analyze the use of data mining in the modeling stage of complex and not well structured processes when applying BPM to improve processes at a Federal Institute of Higher Education in Brazil. Due to the fact that the nature of the products and services requested in the institute’s system is very varied, the processes are not standardized, and the use of the information system is not done in a disciplined way, data mining was not enough to identify the complete processes and the flow of activities in detail. Although it was not enough, data mining facilitated the definition of instance flows and made it possible to detect critical points in the process, such as points with a long duration of time. With data mining, the analysis time, meetings and modeling effort of the analysts and users were reduced.Federal Institute of Education of RoraimaSão Paulo State UniversitySão Paulo State UniversityFederal Institute of Education of RoraimaUniversidade Estadual Paulista (UNESP)Maia, Diogo Rocha Ferreirade Campos, Renato [UNESP]de Souza Rodrigues, José [UNESP]2022-04-28T19:29:49Z2022-04-28T19:29:49Z2020-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject339-348http://dx.doi.org/10.1007/978-3-030-56920-4_27Springer Proceedings in Mathematics and Statistics, v. 337, p. 339-348.2194-10172194-1009http://hdl.handle.net/11449/22162310.1007/978-3-030-56920-4_272-s2.0-85097172691Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengSpringer Proceedings in Mathematics and Statisticsinfo:eu-repo/semantics/openAccess2022-04-28T19:29:49Zoai:repositorio.unesp.br:11449/221623Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T22:08:26.726751Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Study of the Use of Data Mining in Modeling Non-standard Processes in a Higher Education Institution |
title |
Study of the Use of Data Mining in Modeling Non-standard Processes in a Higher Education Institution |
spellingShingle |
Study of the Use of Data Mining in Modeling Non-standard Processes in a Higher Education Institution Maia, Diogo Rocha Ferreira BPM Business process management Data mining Higher education Non-standard processes |
title_short |
Study of the Use of Data Mining in Modeling Non-standard Processes in a Higher Education Institution |
title_full |
Study of the Use of Data Mining in Modeling Non-standard Processes in a Higher Education Institution |
title_fullStr |
Study of the Use of Data Mining in Modeling Non-standard Processes in a Higher Education Institution |
title_full_unstemmed |
Study of the Use of Data Mining in Modeling Non-standard Processes in a Higher Education Institution |
title_sort |
Study of the Use of Data Mining in Modeling Non-standard Processes in a Higher Education Institution |
author |
Maia, Diogo Rocha Ferreira |
author_facet |
Maia, Diogo Rocha Ferreira de Campos, Renato [UNESP] de Souza Rodrigues, José [UNESP] |
author_role |
author |
author2 |
de Campos, Renato [UNESP] de Souza Rodrigues, José [UNESP] |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Federal Institute of Education of Roraima Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Maia, Diogo Rocha Ferreira de Campos, Renato [UNESP] de Souza Rodrigues, José [UNESP] |
dc.subject.por.fl_str_mv |
BPM Business process management Data mining Higher education Non-standard processes |
topic |
BPM Business process management Data mining Higher education Non-standard processes |
description |
Business process management (BPM) is an administration discipline to design, improve and manage processes, and consists of several phases. One of them is the modeling of the current process (as is), during which the process is mapped as it is. One tool that can be used in the process discovery and modeling phase is data mining in information systems. Data mining techniques allow a series of applications in organizations, either as a verification process or as a discovery process. The purpose of this article is to analyze the use of data mining in the modeling stage of complex and not well structured processes when applying BPM to improve processes at a Federal Institute of Higher Education in Brazil. Due to the fact that the nature of the products and services requested in the institute’s system is very varied, the processes are not standardized, and the use of the information system is not done in a disciplined way, data mining was not enough to identify the complete processes and the flow of activities in detail. Although it was not enough, data mining facilitated the definition of instance flows and made it possible to detect critical points in the process, such as points with a long duration of time. With data mining, the analysis time, meetings and modeling effort of the analysts and users were reduced. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-01-01 2022-04-28T19:29:49Z 2022-04-28T19:29:49Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1007/978-3-030-56920-4_27 Springer Proceedings in Mathematics and Statistics, v. 337, p. 339-348. 2194-1017 2194-1009 http://hdl.handle.net/11449/221623 10.1007/978-3-030-56920-4_27 2-s2.0-85097172691 |
url |
http://dx.doi.org/10.1007/978-3-030-56920-4_27 http://hdl.handle.net/11449/221623 |
identifier_str_mv |
Springer Proceedings in Mathematics and Statistics, v. 337, p. 339-348. 2194-1017 2194-1009 10.1007/978-3-030-56920-4_27 2-s2.0-85097172691 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Springer Proceedings in Mathematics and Statistics |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
339-348 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
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1808129396134903808 |