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035   $a(OCoLC)1374213037
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100   $a20230325d2023      u|             0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aProcess Mining Workshops$b[electronic resource] $eICPM 2022 International Workshops, Bozen-Bolzano, Italy, October 23?28, 2022, Revised Selected Papers /$fedited by Marco Montali, Arik Senderovich, Matthias Weidlich
205   $a1st ed. 2023.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023.
215   $a1 online resource (XI, 592 p. 188 illus., 140 illus. in color.) 
225 1 $aLecture Notes in Business Information Processing,$x1865-1356 ;$v468
300   $aIncludes author index.
311   $a3-031-27814-3 
330   $aThis open access book constitutes revised selected papers from the International Workshops held at the 4th International Conference on Process Mining, ICPM 2022, which took place in Bozen-Bolzano, Italy, during October 23?28, 2022. The conference focuses on the area of process mining research and practice, including theory, algorithmic challenges, and applications. The co-located workshops provided a forum for novel research ideas. The 42 papers included in this volume were carefully reviewed and selected from 89 submissions. They stem from the following workshops: ? 3rd International Workshop on Event Data and Behavioral Analytics (EDBA) ? 3rd International Workshop on Leveraging Machine Learning in Process Mining (ML4PM) ? 3rd International Workshop on Responsible Process Mining (RPM) (previously known as Trust, Privacy and Security Aspects in Process Analytics) ? 5th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H) ? 3rd International Workshop on Streaming Analytics for Process Mining (SA4PM) ? 7th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI) ? 1st International Workshop on Education meets Process Mining (EduPM) ? 1st International Workshop on Data Quality and Transformation in Process Mining (DQT-PM).
410  0$aLecture Notes in Business Information Processing,$x1865-1356 ;$v468
606   $aData mining
606   $aInformation technology?Management
606   $aMachine learning
606   $aMedical informatics
606   $aData Mining and Knowledge Discovery
606   $aBusiness Process Management
606   $aMachine Learning
606   $aComputer Application in Administrative Data Processing
606   $aHealth Informatics
615  0$aData mining.
615  0$aInformation technology?Management.
615  0$aMachine learning.
615  0$aMedical informatics.
615 14$aData Mining and Knowledge Discovery.
615 24$aBusiness Process Management.
615 24$aMachine Learning.
615 24$aComputer Application in Administrative Data Processing.
615 24$aHealth Informatics.
676   $a006.312
702   $aMontali$b Marco$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aSenderovich$b Arik$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aWeidlich$b Matthias$4edt$4http://id.loc.gov/vocabulary/relators/edt
801  0$bNjHacI
801  1$bNjHacl
906   $aBOOK
912   $a996547957303316
996   $aProcess mining workshops$91900327
997   $aUNISA