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_a10.1007/978-3-031-27815-0 _2doi |
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_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. |
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300 |
_aXI, 592 p. 282 illus., 140 illus. in color. _bonline resource. |
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_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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490 | 1 |
_aLecture Notes in Business Information Processing, _x1865-1356 ; _v468 |
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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. |
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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 |
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700 | 1 |
_aSenderovich, Arik. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aWeidlich, Matthias. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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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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