{"title":"计算智能和机器学习技术在业务流程挖掘中的应用研究-简介","authors":"A. Cardenas","doi":"10.52591/lxai201906158","DOIUrl":null,"url":null,"abstract":"Mining process is a emerging research area that combines data mining and machine learning, on one hand, and business process modeling and analysis, on the other hand. Mining process aims at discovering, monitoring and improving business processes by extracting real knowledge from event logs produced by the information systems used by organizations. This work aims to assess the application of computational intelligence and machine learning techniques in process mining context. The main focus of the study was to identify why the computational intelligence and machine learning techniques are not being widely used in process mining field and identify the main reasons for this phenomenon.","PeriodicalId":402227,"journal":{"name":"LatinX in AI at International Conference on Machine Learning 2019","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A study of the application of computational intelligence and machine learning techniques in business process mining - A brief\",\"authors\":\"A. Cardenas\",\"doi\":\"10.52591/lxai201906158\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Mining process is a emerging research area that combines data mining and machine learning, on one hand, and business process modeling and analysis, on the other hand. Mining process aims at discovering, monitoring and improving business processes by extracting real knowledge from event logs produced by the information systems used by organizations. This work aims to assess the application of computational intelligence and machine learning techniques in process mining context. The main focus of the study was to identify why the computational intelligence and machine learning techniques are not being widely used in process mining field and identify the main reasons for this phenomenon.\",\"PeriodicalId\":402227,\"journal\":{\"name\":\"LatinX in AI at International Conference on Machine Learning 2019\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"LatinX in AI at International Conference on Machine Learning 2019\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.52591/lxai201906158\",\"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 2019","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.52591/lxai201906158","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A study of the application of computational intelligence and machine learning techniques in business process mining - A brief
Mining process is a emerging research area that combines data mining and machine learning, on one hand, and business process modeling and analysis, on the other hand. Mining process aims at discovering, monitoring and improving business processes by extracting real knowledge from event logs produced by the information systems used by organizations. This work aims to assess the application of computational intelligence and machine learning techniques in process mining context. The main focus of the study was to identify why the computational intelligence and machine learning techniques are not being widely used in process mining field and identify the main reasons for this phenomenon.