Raphael J. D'Castro, Adriano Oliveira, Augusto H. Terra
{"title":"Process Mining Discovery Techniques in a Low-Structured Process Works?","authors":"Raphael J. D'Castro, Adriano Oliveira, Augusto H. Terra","doi":"10.1109/BRACIS.2018.00042","DOIUrl":null,"url":null,"abstract":"Efficiency in the operation is a crucial element for organizations, and this requires greater knowledge about existing business processes. Process Mining is an emerging discipline which aims to provide knowledge about business processes through learning from event logs from the information systems of the organization. Over the last years, the field has progressed significantly, however, some important challenges remain. Among these, we highlight the application in real-world environments, because organizations do not always have well-structured processes, that is, repeatable activities whose inputs and outputs are well defined. Also, there are more complex processes that make it more difficult to get knowledge. This paper presents a study, performed in a real environment, to evaluate the challenges and limitations of the Process Mining tools on process discovery.","PeriodicalId":405190,"journal":{"name":"2018 7th Brazilian Conference on Intelligent Systems (BRACIS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 7th Brazilian Conference on Intelligent Systems (BRACIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BRACIS.2018.00042","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Efficiency in the operation is a crucial element for organizations, and this requires greater knowledge about existing business processes. Process Mining is an emerging discipline which aims to provide knowledge about business processes through learning from event logs from the information systems of the organization. Over the last years, the field has progressed significantly, however, some important challenges remain. Among these, we highlight the application in real-world environments, because organizations do not always have well-structured processes, that is, repeatable activities whose inputs and outputs are well defined. Also, there are more complex processes that make it more difficult to get knowledge. This paper presents a study, performed in a real environment, to evaluate the challenges and limitations of the Process Mining tools on process discovery.