Process Mining Workshops
ICPM 2022 International Workshops, Bozen-Bolzano, Italy, October 23–28, 2022, Revised Selected Papers
dc.contributor.editor | Montali, Marco | |
dc.contributor.editor | Senderovich, Arik | |
dc.contributor.editor | Weidlich, Matthias | |
dc.date.accessioned | 2023-04-13T14:04:39Z | |
dc.date.available | 2023-04-13T14:04:39Z | |
dc.date.issued | 2023 | |
dc.identifier | ONIX_20230413_9783031278150_36 | |
dc.identifier.uri | https://library.oapen.org/handle/20.500.12657/62417 | |
dc.description.abstract | 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) | |
dc.language | English | |
dc.relation.ispartofseries | Lecture Notes in Business Information Processing | |
dc.subject.classification | thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining | en_US |
dc.subject.classification | thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJQ Business mathematics and systems | en_US |
dc.subject.classification | thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning | en_US |
dc.subject.classification | thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics | en_US |
dc.subject.classification | thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics::UBH Digital and information technologies: Health and safety aspects | en_US |
dc.subject.other | process mining | |
dc.subject.other | process discovery | |
dc.subject.other | process analytics | |
dc.subject.other | process querying | |
dc.subject.other | conformance checking | |
dc.subject.other | predictive process monitoring | |
dc.subject.other | data science | |
dc.subject.other | knowledge graphs | |
dc.subject.other | event data | |
dc.subject.other | streaming analytics | |
dc.subject.other | machine learning | |
dc.subject.other | deep learning | |
dc.subject.other | business process management | |
dc.subject.other | health informatics | |
dc.title | Process Mining Workshops | |
dc.title.alternative | ICPM 2022 International Workshops, Bozen-Bolzano, Italy, October 23–28, 2022, Revised Selected Papers | |
dc.type | book | |
oapen.identifier.doi | 10.1007/978-3-031-27815-0 | |
oapen.relation.isPublishedBy | 6c6992af-b843-4f46-859c-f6e9998e40d5 | |
oapen.relation.isFundedBy | f3918115-d031-4ec8-9af0-240ffae294b4 | |
oapen.relation.isbn | 9783031278150 | |
oapen.relation.isbn | 9783031278143 | |
oapen.imprint | Springer Nature Switzerland | |
oapen.series.number | 468 | |
oapen.pages | 592 | |
oapen.place.publication | Cham | |
oapen.grant.number | [...] |