{"title":"可解释过程挖掘的机遇与挑战","authors":"Ana Rocío Cárdenas Maita, Marcelo Fantinato","doi":"10.52591/lxai202207175","DOIUrl":null,"url":null,"abstract":"Process mining is an area that seeks to extract insights from event logs obtained from work performed by information systems. Although there has already been significant improvement over techniques developed for predictive process mining, the trend is towards interpreting the details of the business process to make better decisions. Recent studies point to the need to interpret the results obtained with such techniques. This poster aims to show research opportunities and challenges encountered in an exploratory review conducted as part of the author’s doctoral project.","PeriodicalId":366061,"journal":{"name":"LatinX in AI at International Conference on Machine Learning 2022","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Interpretable Process Mining Opportunities and Challenges\",\"authors\":\"Ana Rocío Cárdenas Maita, Marcelo Fantinato\",\"doi\":\"10.52591/lxai202207175\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Process mining is an area that seeks to extract insights from event logs obtained from work performed by information systems. Although there has already been significant improvement over techniques developed for predictive process mining, the trend is towards interpreting the details of the business process to make better decisions. Recent studies point to the need to interpret the results obtained with such techniques. This poster aims to show research opportunities and challenges encountered in an exploratory review conducted as part of the author’s doctoral project.\",\"PeriodicalId\":366061,\"journal\":{\"name\":\"LatinX in AI at International Conference on Machine Learning 2022\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"LatinX in AI at International Conference on Machine Learning 2022\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.52591/lxai202207175\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"LatinX in AI at International Conference on Machine Learning 2022","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.52591/lxai202207175","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Interpretable Process Mining Opportunities and Challenges
Process mining is an area that seeks to extract insights from event logs obtained from work performed by information systems. Although there has already been significant improvement over techniques developed for predictive process mining, the trend is towards interpreting the details of the business process to make better decisions. Recent studies point to the need to interpret the results obtained with such techniques. This poster aims to show research opportunities and challenges encountered in an exploratory review conducted as part of the author’s doctoral project.