LEADER 01076oam 2200289z- 450 001 9910872545003321 005 20241212215402.0 035 $a(CKB)1000000000022872 035 $a(EXLCZ)991000000000022872 100 $a20220608c2000uuuu -u- - 101 0 $aeng 200 10$aInternational Seminar Day on Diffraction $emillennium workshop : proceedings : May 29-June 1, 2000, St. Petersburg, Russia /$f[edited by I.V. Anfronov] 210 $cIEEE 311 08$a5799702524 517 $aInternational Seminar Day on Diffraction Millennium Workshop 531 $aDAY ON DIFFRACTION MILLENNIUM WORKSHOP, 2000. INTERNATIONAL SEMINAR 606 $aDiffraction$vCongresses 606 $aWaves$xDiffraction$vCongresses 606 $aElectromagnetic waves$xDiffraction$vCongresses 615 0$aDiffraction 615 0$aWaves$xDiffraction 615 0$aElectromagnetic waves$xDiffraction 701 $aAndronov$b I. V$g(Ivan V.)$01126698 906 $aPROCEEDING 912 $a9910872545003321 996 $aInternational Seminar Day on Diffraction$92860496 997 $aUNINA LEADER 05709nam 22006375 450 001 9910555236103321 005 20251225212229.0 010 $a3-030-98581-4 024 7 $a10.1007/978-3-030-98581-3 035 $a(CKB)5860000000038033 035 $a(MiAaPQ)EBC6938742 035 $a(Au-PeEL)EBL6938742 035 $a(OCoLC)1308508232 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/81321 035 $a(DE-He213)978-3-030-98581-3 035 $a(PPN)261519433 035 $a(oapen)doab81321 035 $a(EXLCZ)995860000000038033 100 $a20220323d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProcess Mining Workshops $eICPM 2021 International Workshops, Eindhoven, The Netherlands, October 31 ? November 4, 2021, Revised Selected Papers /$fedited by Jorge Munoz-Gama, Xixi Lu 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (xiv, 410 pages) $cillustrations (chiefly color) 225 1 $aLecture Notes in Business Information Processing,$x1865-1356 ;$v433 300 $aIncludes author index. 311 08$a3-030-98580-6 327 $aRethinking the Input for Process Mining: Insights from the XES Survey and Workshop -- Probability Estimation of Uncertain Process Trace Realizations -- Visualizing Trace Variants From Partially Ordered Event Data -- Analyzing Multi-level BOM-structured Event Data -- Linac: A Smart Environment Simulator of Human Activities -- Root Cause Analysis in Process Mining with Probabilistic Temporal Logic -- xPM: A Framework for Process Mining with Exogenous Data -- A Bridging Model for Process Mining and IoT -- Exploiting Instance Graphs and Graph Neural Networks for next activity prediction -- Can deep neural networks learn process modelstructure? An assessment framework and analysis -- Remaining Time Prediction for Processes with Inter-Case Dynamics -- Event Log Sampling for Predictive Monitoring -- Active Anomaly Detection for Key Item Selection in Process Auditing -- Prescriptive Process Monitoring Under Resource Constraints: A Causal Inference Approach -- Quantifying Explainability in Outcome-Oriented Predictive Process Monitoring -- Online Prediction of Aggregated Retailer Consumer Behaviour -- PErrCas: Process Error Cascade Mining in Trace Streams -- Continuous performance evaluation for business process outcome monitoring -- An Event Data Extraction Approach from SAP ERP for Process Mining -- Towards a Natural Language Conversational Interface for Process Mining -- On the Performance Analysis of the Adversarial System Variant Approximation Method to Quantify Process Model Generalization -- Verifying guideline compliance in clinical treatment using multi-perspective conformance checking: a case study -- Patient Discharge Classification based on the Hospital Treatment Process -- Combining the Clinical and Operational Perspectives in Heterogeneous Treatment E ect Inference in Healthcare Processes -- Interactive Process Mining Applied in a Cardiology Outpatient Department -- Discovering care pathways for multi-morbid patients using event graphs -- Process Mining in Trusted Execution Environments: Towards Hardware Guarantees for Trust-aware Inter-organizational Process Analysis -- Quantifying the Re-identification Risk in Published Process Models -- Trustworthy Artificial Intelligence and Process Mining: Challenges and Opportunities. 330 $aThis open access book constitutes revised selected papers from the International Workshops held at the Third International Conference on Process Mining, ICPM 2021, which took place in Eindhoven, The Netherlands, during October 31?November 4, 2021. The conference focuses on the area of process mining research and practice, including theory, algorithmic challenges, and applications. The co-located workshops provided a forum for novel research ideas. The 28 papers included in this volume were carefully reviewed and selected from 65 submissions. They stem from the following workshops: 2nd International Workshop on Event Data and Behavioral Analytics (EDBA) 2nd International Workshop on Leveraging Machine Learning in Process Mining (ML4PM) 2nd International Workshop on Streaming Analytics for Process Mining (SA4PM) 6th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI) 4th International Workshop on Process-Oriented DataScience for Healthcare (PODS4H) 2nd International Workshop on Trust, Privacy, and Security in Process Analytics (TPSA) One survey paper on the results of the XES 2.0 Workshop is included. 410 0$aLecture Notes in Business Information Processing,$x1865-1356 ;$v433 606 $aData mining 606 $aInformation technology$xManagement 606 $aData Mining and Knowledge Discovery 606 $aBusiness Process Management 606 $aComputer Application in Administrative Data Processing 615 0$aData mining. 615 0$aInformation technology$xManagement. 615 14$aData Mining and Knowledge Discovery. 615 24$aBusiness Process Management. 615 24$aComputer Application in Administrative Data Processing. 676 $a006.312 700 $aMunoz-Gama$b Jorge$4edt$0976581 701 $aMunoz-Gama$b Jorge$0976581 701 $aLu$b Xixi$01224408 712 12$aInternational Conference on Process Mining. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910555236103321 996 $aProcess Mining Workshops$92841988 997 $aUNINA