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001431443 001__ 1431443
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001431443 019__ $$a1336588962$$a1340453645
001431443 020__ $$a9783031088483$$q(electronic bk.)
001431443 020__ $$a3031088484$$q(electronic bk.)
001431443 020__ $$z9783031088476
001431443 0247_ $$a10.1007/978-3-031-08848-3$$2doi
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001431443 049__ $$aISEA
001431443 050_4 $$aT57.67
001431443 08204 $$a006.3/12$$223/eng/20220630
001431443 24500 $$aProcess mining handbook /$$cWil M. P. van der Aalst, Josep Carmona (eds.).
001431443 264_1 $$aCham :$$bSpringer,$$c[2022]
001431443 264_4 $$c©2022
001431443 300__ $$a1 online resource (x, 503 pages) :$$billustrations (some color).
001431443 336__ $$atext$$btxt$$2rdacontent
001431443 337__ $$acomputer$$bc$$2rdamedia
001431443 338__ $$aonline resource$$bcr$$2rdacarrier
001431443 347__ $$atext file
001431443 347__ $$bPDF
001431443 4901_ $$aLecture notes in business information processing,$$x1865-1356 ;$$v448
001431443 504__ $$aIncludes bibliographical references and author index.
001431443 5050_ $$aIntroduction -- Process Mining: A 360 Degree Overview -- Process Discovery -- Foundations of Process Discovery -- Advanced Process Discovery Techniques -- Declarative Process Specifications: Reasoning, Discovery, Monitoring -- Conformance Checking -- Conformance Checking: Foundations, Milestones and Challenges -- Data Preprocessing -- Foundations of Process Event Data -- A Practitioner’s View on Process Mining Adoption, Event Log Engineering and Data Challenges -- Process Enhancement and Monitoring -- Foundations of Process Enhancement -- Process Mining over Multiple Behavioral Dimensions with Event Knowledge Graphs -- Predictive Process Monitoring -- Assorted Process Mining Topics -- Streaming Process Mining -- Responsible Process Mining -- Industrial Perspective and Applications -- Status and Future of Process Mining: from Process Discovery to Process Execution -- Using Process Mining in Healthcare -- Process Mining for Financial Auditing -- Robotic Process Mining -- Closing -- Scaling Process Mining to Turn Insights Into Actions.
001431443 5060_ $$aOpen access$$5GW5XE
001431443 520__ $$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.
001431443 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed June 30, 2022).
001431443 650_0 $$aProcess mining.
001431443 655_0 $$aElectronic books.
001431443 7001_ $$aAalst, Wil van der,$$eeditor.
001431443 7001_ $$aCarmona, Josep,$$eeditor.
001431443 77608 $$iPrint version: $$z9783031088476
001431443 77608 $$iPrint version: $$z9783031088490
001431443 830_0 $$aLecture notes in business information processing ;$$v448.$$x1865-1356
001431443 852__ $$bebk
001431443 85640 $$3Springer Nature$$uhttps://link.springer.com/10.1007/978-3-031-08848-3$$zOnline Access$$91397441.2
001431443 909CO $$ooai:library.usi.edu:1431443$$pGLOBAL_SET
001431443 980__ $$aBIB
001431443 980__ $$aEBOOK
001431443 982__ $$aEbook
001431443 983__ $$aOnline
001431443 994__ $$a92$$bISE