02384nam 22006133 450 99647886140331620221007173344.03-031-08848-4(CKB)5600000000472183(MiAaPQ)EBC7022530(Au-PeEL)EBL7022530(OCoLC)1333924562(oapen)https://directory.doabooks.org/handle/20.500.12854/87733(PPN)269151443(EXLCZ)99560000000047218320220919d2022 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierProcess Mining HandbookChamSpringer Nature2022Cham :Springer International Publishing AG,2022.©2022.1 online resource (503 pages)Lecture Notes in Business Information Processing Ser. ;v.4483-031-08847-6 This 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. This volume contains 17 chapters organized into 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.Lecture Notes in Business Information Processing Ser.Business mathematics & systemsbicsscInformation technology: general issuesbicsscData miningbicsscbusiness process managementprocess miningprocess discoveryconformance checkingknowledge graphsdata sciencedata miningstream data managementRPA - Robotic Process AutomationBusiness mathematics & systemsInformation technology: general issuesData miningAalst Wil van der981323Carmona Josep859883MiAaPQMiAaPQMiAaPQBOOK996478861403316Process Mining Handbook2919615UNISA