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Publicação:
Study of the Use of Data Mining in Modeling Non-standard Processes in a Higher Education Institution

dc.contributor.authorMaia, Diogo Rocha Ferreira
dc.contributor.authorde Campos, Renato [UNESP]
dc.contributor.authorde Souza Rodrigues, José [UNESP]
dc.contributor.institutionFederal Institute of Education of Roraima
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2022-04-28T19:29:49Z
dc.date.available2022-04-28T19:29:49Z
dc.date.issued2020-01-01
dc.description.abstractBusiness 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.en
dc.description.affiliationFederal Institute of Education of Roraima
dc.description.affiliationSão Paulo State University
dc.description.affiliationUnespSão Paulo State University
dc.format.extent339-348
dc.identifierhttp://dx.doi.org/10.1007/978-3-030-56920-4_27
dc.identifier.citationSpringer Proceedings in Mathematics and Statistics, v. 337, p. 339-348.
dc.identifier.doi10.1007/978-3-030-56920-4_27
dc.identifier.issn2194-1017
dc.identifier.issn2194-1009
dc.identifier.scopus2-s2.0-85097172691
dc.identifier.urihttp://hdl.handle.net/11449/221623
dc.language.isoeng
dc.relation.ispartofSpringer Proceedings in Mathematics and Statistics
dc.sourceScopus
dc.subjectBPM
dc.subjectBusiness process management
dc.subjectData mining
dc.subjectHigher education
dc.subjectNon-standard processes
dc.titleStudy of the Use of Data Mining in Modeling Non-standard Processes in a Higher Education Institutionen
dc.typeTrabalho apresentado em evento
dspace.entity.typePublication

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