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001 978-3-031-08848-3
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005 20240507154520.0
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008 220616s2022 sz | s |||| 0|eng d
020 _a9783031088483
_9978-3-031-08848-3
024 7 _a10.1007/978-3-031-08848-3
_2doi
050 4 _aHD30.2
072 7 _aKJQ
_2bicssc
072 7 _aCOM005030
_2bisacsh
072 7 _aKJQ
_2thema
082 0 4 _a658.4038
_223
245 1 0 _aProcess Mining Handbook
_h[electronic resource] /
_cedited by Wil M. P. van der Aalst, Josep Carmona.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2022.
300 _aX, 503 p. 171 illus., 92 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 ;
_v448
505 0 _aIntroduction -- Process Mining: A 360 Degree Overview -- Process Discovery -- Foundations of Process Discovery -- Advanced Process Discovery Techniques -- Declarative Process Specifications: Reasoning, Discovery, Monitoring -- Conformance Checking -- Conformance Checking: Foundations, Milestones and Challenges -- Data Preprocessing -- Foundations of Process Event Data -- A Practitioner’s View on Process Mining Adoption, Event Log Engineering and Data Challenges -- Process Enhancement and Monitoring -- Foundations of Process Enhancement -- Process Mining over Multiple Behavioral Dimensions with Event Knowledge Graphs -- Predictive Process Monitoring -- Assorted Process Mining Topics -- Streaming Process Mining -- Responsible Process Mining -- Industrial Perspective and Applications -- Status and Future of Process Mining: from Process Discovery to Process Execution -- Using Process Mining in Healthcare -- Process Mining for Financial Auditing -- Robotic Process Mining -- Closing -- Scaling Process Mining toTurn Insights Into Actions.
506 0 _aOpen Access
520 _aThis is an open access book. This book comprises all the single courses given as part of the First Summer School on Process Mining, PMSS 2022, which was held in Aachen, Germany, during July 4-8, 2022. The 17 chapters presented in this volume were organized in the following topical sections: introduction; process discovery; conformance checking; data preprocessing; process enhancement and monitoring; assorted process mining topics; industrial perspective and applications; and closing.
650 0 _aInformation technology
_xManagement.
650 0 _aApplication software.
650 0 _aData mining.
650 1 4 _aBusiness Process Management.
650 2 4 _aComputer and Information Systems Applications.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aComputer Application in Administrative Data Processing.
700 1 _avan der Aalst, Wil M. P.
_eeditor.
_0(orcid)
_10000-0002-0955-6940
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aCarmona, Josep.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031088476
776 0 8 _iPrinted edition:
_z9783031088490
830 0 _aLecture Notes in Business Information Processing,
_x1865-1356 ;
_v448
856 4 0 _uhttps://doi.org/10.1007/978-3-031-08848-3
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNB
912 _aZDB-2-SOB
999 _c37422
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