000 07667nam a22006135i 4500
001 978-3-031-56107-8
003 DE-He213
005 20240730171826.0
007 cr nn 008mamaa
008 240412s2024 sz | s |||| 0|eng d
020 _a9783031561078
_9978-3-031-56107-8
024 7 _a10.1007/978-3-031-56107-8
_2doi
050 4 _aQA76.9.D343
072 7 _aUNF
_2bicssc
072 7 _aUYQE
_2bicssc
072 7 _aCOM021030
_2bisacsh
072 7 _aUNF
_2thema
072 7 _aUYQE
_2thema
082 0 4 _a006.312
_223
245 1 0 _aProcess Mining Workshops
_h[electronic resource] :
_bICPM 2023 International Workshops, Rome, Italy, October 23-27, 2023, Revised Selected Papers /
_cedited by Johannes De Smedt, Pnina Soffer.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXXIV, 514 p. 181 illus., 127 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Business Information Processing,
_x1865-1356 ;
_v503
505 0 _a4th 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.
520 _aThis 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).
650 0 _aData mining.
_93907
650 0 _aInformation technology
_xManagement.
_95368
650 0 _aMachine learning.
_91831
650 0 _aMedical informatics.
_94729
650 1 4 _aData Mining and Knowledge Discovery.
_9100545
650 2 4 _aBusiness Process Management.
_937129
650 2 4 _aMachine Learning.
_91831
650 2 4 _aComputer Application in Administrative Data Processing.
_931588
650 2 4 _aHealth Informatics.
_931799
700 1 _aDe Smedt, Johannes.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9100547
700 1 _aSoffer, Pnina.
_eeditor.
_0(orcid)
_10000-0003-4659-883X
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9100548
710 2 _aSpringerLink (Online service)
_9100550
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031561061
776 0 8 _iPrinted edition:
_z9783031561085
830 0 _aLecture Notes in Business Information Processing,
_x1865-1356 ;
_v503
_9100551
856 4 0 _uhttps://doi.org/10.1007/978-3-031-56107-8
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNB
942 _cEBK
999 _c87836
_d87836