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020 _a9783031278150
_9978-3-031-27815-0
024 7 _a10.1007/978-3-031-27815-0
_2doi
050 4 _aQA76.9.D343
072 7 _aUNF
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082 0 4 _a006.312
_223
245 1 0 _aProcess Mining Workshops
_h[electronic resource] :
_bICPM 2022 International Workshops, Bozen-Bolzano, Italy, October 23–28, 2022, Revised Selected Papers /
_cedited by Marco Montali, Arik Senderovich, Matthias Weidlich.
250 _a1st ed. 2023.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2023.
300 _aXI, 592 p. 282 illus., 140 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Business Information Processing,
_x1865-1356 ;
_v468
506 0 _aOpen Access
520 _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).
650 0 _aData mining.
650 0 _aInformation technology
_xManagement.
650 0 _aMachine learning.
650 0 _aMedical informatics.
650 1 4 _aData Mining and Knowledge Discovery.
650 2 4 _aBusiness Process Management.
650 2 4 _aMachine Learning.
650 2 4 _aComputer Application in Administrative Data Processing.
650 2 4 _aHealth Informatics.
700 1 _aMontali, Marco.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aSenderovich, Arik.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aWeidlich, Matthias.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031278143
776 0 8 _iPrinted edition:
_z9783031278167
830 0 _aLecture Notes in Business Information Processing,
_x1865-1356 ;
_v468
856 4 0 _uhttps://doi.org/10.1007/978-3-031-27815-0
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912 _aZDB-2-SXCS
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