03574nam 22006375 450 991025484100332120230810191209.03-319-53435-110.1007/978-3-319-53435-0(CKB)3710000001041271(DE-He213)978-3-319-53435-0(MiAaPQ)EBC6302656(MiAaPQ)EBC5578530(Au-PeEL)EBL5578530(OCoLC)978596774(PPN)198340834(EXLCZ)99371000000104127120170127d2017 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierData-Driven Process Discovery and Analysis 5th IFIP WG 2.6 International Symposium, SIMPDA 2015, Vienna, Austria, December 9-11, 2015, Revised Selected Papers /edited by Paolo Ceravolo, Stefanie Rinderle-Ma1st ed. 2017.Cham :Springer International Publishing :Imprint: Springer,2017.1 online resource (IX, 185 p. 78 illus.) Lecture Notes in Business Information Processing,1865-1356 ;2443-319-53434-3 A 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. .This 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. .Lecture Notes in Business Information Processing,1865-1356 ;244Data miningInformation technologyManagementApplication softwareData Mining and Knowledge DiscoveryBusiness Process ManagementComputer and Information Systems ApplicationsComputer Application in Administrative Data ProcessingData mining.Information technologyManagement.Application software.Data Mining and Knowledge Discovery.Business Process Management.Computer and Information Systems Applications.Computer Application in Administrative Data Processing.006.312Ceravolo Paoloedthttp://id.loc.gov/vocabulary/relators/edtRinderle-Ma Stefanieedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910254841003321Data-Driven Process Discovery and Analysis1961600UNINA