LEADER 03574nam 22006375 450 001 9910254841003321 005 20230810191209.0 010 $a3-319-53435-1 024 7 $a10.1007/978-3-319-53435-0 035 $a(CKB)3710000001041271 035 $a(DE-He213)978-3-319-53435-0 035 $a(MiAaPQ)EBC6302656 035 $a(MiAaPQ)EBC5578530 035 $a(Au-PeEL)EBL5578530 035 $a(OCoLC)978596774 035 $a(PPN)198340834 035 $a(EXLCZ)993710000001041271 100 $a20170127d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aData-Driven Process Discovery and Analysis $e5th IFIP WG 2.6 International Symposium, SIMPDA 2015, Vienna, Austria, December 9-11, 2015, Revised Selected Papers /$fedited by Paolo Ceravolo, Stefanie Rinderle-Ma 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (IX, 185 p. 78 illus.) 225 1 $aLecture Notes in Business Information Processing,$x1865-1356 ;$v244 311 $a3-319-53434-3 327 $aA Framework for Safety-critical Process Management in Engineering Projects -- Business Process Reporting Using Process Mining, Analytic Workflows and Process Cubes: A Case Study in Education -- Detecting Changes in Process Behavior Using Comparative Case Clustering -- - Using Domain Knowledge to Enhance Process Mining Results -- - Aligning Process Model Terminology with Hypernym Relations -- Time Series Petri Net Models: Enrichment and Prediction -- Visual Analytics Meets Process Mining: Challenges and Opportunities -- A Relational Data Warehouse for Multidimensional Process Mining. . 330 $aThis book constitutes the revised selected papers from the 5th IFIP WG 2.6 International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2015, held in Vienna, Austria in December 2015. The 8 papers presented in this volume were carefully reviewed and selected from 22 submissions. They cover theoretical issues related to process representation, discovery and analysis, or provide practical and operational experiences in process discovery and analysis. They focus mainly on the adoption of process mining algorithms in conjunction and coordination with other techniques and methodologies. . 410 0$aLecture Notes in Business Information Processing,$x1865-1356 ;$v244 606 $aData mining 606 $aInformation technology$xManagement 606 $aApplication software 606 $aData Mining and Knowledge Discovery 606 $aBusiness Process Management 606 $aComputer and Information Systems Applications 606 $aComputer Application in Administrative Data Processing 615 0$aData mining. 615 0$aInformation technology$xManagement. 615 0$aApplication software. 615 14$aData Mining and Knowledge Discovery. 615 24$aBusiness Process Management. 615 24$aComputer and Information Systems Applications. 615 24$aComputer Application in Administrative Data Processing. 676 $a006.312 702 $aCeravolo$b Paolo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRinderle-Ma$b Stefanie$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254841003321 996 $aData-Driven Process Discovery and Analysis$91961600 997 $aUNINA