Process Mining Workshops : ICPM 2023 International Workshops, Rome, Italy, October 23–27, 2023, Revised Selected Papers / edited by Johannes De Smedt, Pnina Soffer

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Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Lecture Notes in Business Information Processing ; 503Verlag: Cham : Springer Nature Switzerland, 2024Verlag: Cham : Imprint: Springer, 2024Auflage: 1st ed. 2024Beschreibung: 1 Online-Ressource(XXIV, 514 p. 181 illus., 127 illus. in color.)ISBN:

9783031561078

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Andere physische Formen: 9783031561061 | 9783031561085 | Erscheint auch als: 9783031561061 Druck-Ausgabe | Erscheint auch als: 9783031561085 Druck-AusgabeDDC-Klassifikation:

006.312 23

DOI: DOI: 10.1007/978-3-031-56107-8Online-Ressourcen:

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Zusammenfassung: 4th International Workshop on Event Data and Behavioral Analytics (EdbA’23) -- 4th International Workshop on Event Data and Behavioral Analytics (EdbA’23) -- Analysing the Foraging Behaviour of Bees using Process Mining: A Case Study -- Tiramisu: A Recipe for Visual Sensemaking of Multi-Faceted Process Information -- NICE: The Native Iot-Centric Event Log Model for Process Mining -- CaseID detection for Process Mining: a heuristic-based methodology -- Parallelism-based Session Creation to Identify High-Level Activities in Event Log Abstraction -- From OCEL to DOCEL - Datasets and Automated Transformation -- Event Knowledge Graphs for Auditing: A Case Study -- Turning Logs Into Lumber: Preprocessing Tasks in Process Mining -- Improving Precision in Process Trees Using Subprocess Tree Logs -- Generating Process Anomalies with Markov Chains: A Pattern-Driven Approach -- 4th International Workshop in Leveraging Machine Learning for Process Mining (ML4PM 2023) -- 4th International Workshop in Leveraging Machine Learning for Process Mining (ML4PM 2023) -- Sparse Mixtures of Shallow Linear Experts for Interpretable and Fast Outcome Prediction -- Understanding the impact of design choices on the performance of predictive process monitoring -- Discovering Process-Based Drivers for Case-Level Outcome Explanation -- Detecting Anomalous Events in Object-centric Business Processes via Graph Neural Networks -- Uncovering the Hidden Significance of Activities Location in Predictive Process Monitoring -- 6th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H 2023) -- 6th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H 2023) -- Using Process Mining to Explore the Impact of Socio-economic Status on the Treatment of Musculoskeletal Disorders - A Case Study -- Identifying Variation in Personal Daily Routine Through Process Mining: A Case Study -- Investigating an Ontology-Informed Approach to Event Log Generation in Healthcare (Research Paper) -- I-PALIA: Discovering BPMN Processes with Duplicated Activities for Healthcare Domains -- Enhancing Clinical Insights: Knowledge-intensive and context-sensitive process instance visualization in health care - Research Paper -- Hypergraphs for Frailty Analysis -- Ontology-based Multi-Perspective Process Mining in Laboratories: A Case Study -- Clinical event knowledge graphs: Enriching healthcare event data with entities and clinical concepts - ”Research Paper” -- Error-Correcting Methodology for Evaluating Compliance to Clinical Guidelines: a Case Study on Rectal Cancer -- 2nd International Workshop Education meets Process Mining (EduPM 2023) -- 2nd International Workshop Education meets Process Mining (EduPM 2023) -- Exploring Gamification in Process Mining Education: Towards a Playful and Engaging Approach -- Process Mining Techniques for Collusion Detection in Online Exams -- Evidence-based Student Career and Performance Analysis with Process Mining: a Case study -- Extracting Rules from Event Data for Study Planning -- 8th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI 2023) -- 8th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI 2023) -- LLMs and Process Mining: Challenges in RPA -- Checking Constraints for Object-Centric Process Executions -- Analyzing An After-Sales Service Process Using Object-Centric Process Mining: A Case Study -- Grouping Local Process Models -- Implementing Object-Centric Event Data Models in Event Knowledge Graphs -- 2nd International Workshop on Collaboration Mining for Distributed Systems (CoMinDS’23) -- 2nd International Workshop on Collaboration Mining for Distributed Systems (CoMinDS’23) -- Unraveling the Fabric of Intertwined Processes: How Object-Centric Process Mining is changing the way we improve operational processes -- Petri Net Classes for Collaboration Mining: Assessment and Design Guidelines -- From Identities to Quantities: Introducing Items and Decoupling Points to Object-centric Process Mining -- Mapping Artifact-driven Monitoring Results Back to BPMN Process Diagrams -- An approach for discovering inter-organizational collaborative business processes in BPMN 2.0 -- Breaking Down Barriers with Knowledge Graphs: Data Integration for Cross-Organizational Process Mining.Zusammenfassung: This volume constitutes the revised selected papers of several workshops which were held in conjunction with the 5th International Conference on Process Mining, ICPM 2023, held in Rome, Italy, in October 23–27, 2023. The 38 revised full papers presented in this book were carefully reviewed and selected from 85 submissions. The book also contains one invited talk. ICPM 2023 presented the following six workshops: – 4th International Workshop on Event Data and Behavioral Analytics (EdbA) – 4th International Workshop on Leveraging Machine Learning in Process Mining (ML4PM) – 6th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H) – 8th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI) – 2nd International Workshop on Education Meets Process Mining (EduPM) – 2nd International Workshop on Collaboration Mining for Distributed Systems (COMINDS).PPN: PPN: 1885935609Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SCS | ZDB-2-SXCS | ZDB-2-LNB

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