03834nam 22006855 450 991068253720332120230902191655.03-031-27815-110.1007/978-3-031-27815-0(CKB)5590000001034467(DE-He213)978-3-031-27815-0(NjHacI)995590000001034467(MiAaPQ)EBC7219825(Au-PeEL)EBL7219825(OCoLC)1374213037(PPN)269094016(EXLCZ)99559000000103446720230325d2023 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierProcess Mining Workshops ICPM 2022 International Workshops, Bozen-Bolzano, Italy, October 23–28, 2022, Revised Selected Papers /edited by Marco Montali, Arik Senderovich, Matthias Weidlich1st ed. 2023.Cham :Springer Nature Switzerland :Imprint: Springer,2023.1 online resource (XI, 592 p. 188 illus., 140 illus. in color.) Lecture Notes in Business Information Processing,1865-1356 ;468Includes author index.3-031-27814-3 This open access book constitutes revised selected papers from the International Workshops held at the 4th International Conference on Process Mining, ICPM 2022, which took place in Bozen-Bolzano, Italy, during October 23–28, 2022. The conference focuses on the area of process mining research and practice, including theory, algorithmic challenges, and applications. The co-located workshops provided a forum for novel research ideas. The 42 papers included in this volume were carefully reviewed and selected from 89 submissions. They stem from the following workshops: – 3rd International Workshop on Event Data and Behavioral Analytics (EDBA) – 3rd International Workshop on Leveraging Machine Learning in Process Mining (ML4PM) – 3rd International Workshop on Responsible Process Mining (RPM) (previously known as Trust, Privacy and Security Aspects in Process Analytics) – 5th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H) – 3rd International Workshop on Streaming Analytics for Process Mining (SA4PM) – 7th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI) – 1st International Workshop on Education meets Process Mining (EduPM) – 1st International Workshop on Data Quality and Transformation in Process Mining (DQT-PM).Lecture Notes in Business Information Processing,1865-1356 ;468Data miningInformation technologyManagementMachine learningMedical informaticsData Mining and Knowledge DiscoveryBusiness Process ManagementMachine LearningComputer Application in Administrative Data ProcessingHealth InformaticsData mining.Information technologyManagement.Machine learning.Medical informatics.Data Mining and Knowledge Discovery.Business Process Management.Machine Learning.Computer Application in Administrative Data Processing.Health Informatics.006.312Montali Marcoedthttp://id.loc.gov/vocabulary/relators/edtSenderovich Arikedthttp://id.loc.gov/vocabulary/relators/edtWeidlich Matthiasedthttp://id.loc.gov/vocabulary/relators/edtNjHacINjHaclBOOK9910682537203321Process mining workshops1900327UNINA