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010   $a3-031-08848-4
035   $a(CKB)5600000000472183
035   $a(MiAaPQ)EBC7022530
035   $a(Au-PeEL)EBL7022530
035   $a(OCoLC)1333924562
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/87733
035   $a(PPN)269151443
035   $a(EXLCZ)995600000000472183
100   $a20220919d2022      uy             0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aProcess Mining Handbook
210   $aCham$cSpringer Nature$d2022
210  1$aCham :$cSpringer International Publishing AG,$d2022.
210  4$dİ2022.
215   $a1 online resource (503 pages)
225 1 $aLecture Notes in Business Information Processing Ser. ;$vv.448
311   $a3-031-08847-6 
330   $aThis is an open access book. This book comprises all the single courses given as part of the First Summer School on Process Mining, PMSS 2022, which was held in Aachen, Germany, during July 4-8, 2022. This volume contains 17 chapters organized into the following topical sections: Introduction; process discovery; conformance checking; data preprocessing; process enhancement and monitoring; assorted process mining topics; industrial perspective and applications; and closing.
410  0$aLecture Notes in Business Information Processing Ser.
606   $aBusiness mathematics & systems$2bicssc
606   $aInformation technology: general issues$2bicssc
606   $aData mining$2bicssc
610   $abusiness process management
610   $aprocess mining
610   $aprocess discovery
610   $aconformance checking
610   $aknowledge graphs
610   $adata science
610   $adata mining
610   $astream data management
610   $aRPA - Robotic Process Automation
615  7$aBusiness mathematics & systems
615  7$aInformation technology: general issues
615  7$aData mining
700   $aAalst$b Wil van der$0981323
701   $aCarmona$b Josep$0859883
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910580293803321
996   $aProcess Mining Handbook$92919615
997   $aUNINA