Process mining has emerged as a new scientific research topic on the interface between process modeling and event data gathering. In the search for process models that best fit to reality, the process discovery approach of creating referential processes from observed behavior. However, despite these methods showing relevant results, when faced with noisy and divergent tendencies they end up producing limited results. This work proposes the application of process discovery technique, combined to cluster technique k-means, to generate new process models, considering its conformance checking measures. The proposed solution is applied to an ad hoc workflow. And as a result, the use of the clustering techniques coupled with process discovery showed significant gains in the generation of process models, unlike the standard approach.

In data mining solutions, the data selection phase plays an essential role in the success of decision-making. The tools that operate at this phase need to cater to each domain's technical and management challenges. Using a Domain-Specific Modeling Language (DSML), we found an alternative to abstract data and simplify the selection for Educational Data Mining (EDM) process. This work presents a graphic DSML to represent the problem. We used a case study methodology and implemented a CASE tool for the language evaluation. We acquired evidence that the proposed language simplifies the data selection phase for EDM because it solves the technical and management challenges addressed to this domain.

ResumoEm busca de reduzir gastos de custeio, racionalizar despesas e aumentar a eficiência das ações nas políticas públicas, governos empreendem esforços no sentido de conectar as demandas da sociedade aos serviços prestados aos cidadãos. Em paralelo, a Universidade Estadual de Pernambuco (UPE) vem trabalhando numa metodologia de ensino que incentiva o desenvolvimento de trabalhos acadêmicos com problemas reais do Setor Público. Para maximizar uma integração e colaboração entre Universidade e Governo que se firmou um convênio na forma de um Laboratório de Inteligência Governamental (LiGOV). Neste contexto, várias soluções foram desenvolvidas e, por ainda não existir um ambiente físico adequado para armazenamento das soluções resultantes dos trabalhos acadêmicos, professores ficavam responsáveis pela guarda e compartilhamento dessas soluções. Sendo assim, este artigo objetiva especificar um repositório de conteúdo apropriado para o armazenamento de código-fonte das soluções, dos arquivos de documentação e de apresentação, além de viabilizar condições adequadas para o desenvolvimento dos trabalhos de pesquisa. AbstractIn order to reduce costs, rationalize expense and increase the efficiency of public policy will, governments are making efforts to connect society's demands with services provided to citizens. Concomitant, the University of Pernambuco State (UPE) has been working on a teaching methodology to encourage the development of academic work with real public sector problems. To maximize an integration and collaboration between University and Government an agreement was signed in the form of a Government Intelligence Laboratory (LiGOV). In this context, several solutions have been developed and, because there is not yet a suitable physical environment for storing the solutions resulting from academic work, teachers were responsible for the custody and sharing of these solutions. Thus, this article aims to specify an appropriate content repository for the solution source store, documentation and presentation files, and enables appropriate conditions for the development of work of research.

No abstract

No abstract