Process Mining Workshops

Nyhet

ICPM 2025 International Workshops, Montevideo, Uruguay, October 20–24, 2025, Revised Selected Papers

Häftad, Engelska, 2026

1 429 kr

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This book constitutes revised selected papers of several workshops which were held in conjunction with the 7th International Conference on Process Mining, ICPM 2025, which took place in Montevideo, Uruguay, during October 20–24, 2025.The 39 full papers and 3 short papers included in this book were carefully reviewed and selected from 90 submissions to the workshops. The papers presented in this volume stem from the following workshops:– 4th International Workshop on Collaboration Mining for Distributed Systems (CoMinDS)– 6th International Workshop on Event Data and Behavioral Analytics (EdbA)– 4th International Workshop on Education Meets Process Mining (EduPM)– 2nd Workshop on Empirical Research in Process Mining (ERPM)– 2nd International Workshop on Generative Artificial Intelligence for Process Mining (GenAI4PM)– 6th International Workshop on Leveraging Machine Learning in Process Mining (ML4PM)– Workshop on Personal and Human-Centric Process Mining (PHPM)– 2nd International Workshop on Process Mining for Sustainability (PM4S)– 8th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H)– 10th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI)– 5th Workshop on Stream Management & Analytics for Process Mining (SMA4PM)– International Workshop on Stochastics, Uncertainty and Non-Determinism in Process Mining (SUN-PM)

Produktinformation

Utgivningsdatum2026-04-08
Mått155 x 235 x undefined mm
FormatHäftad
SpråkEngelska
SerieLecture Notes in Business Information Processing
Antal sidor540
FörlagSpringer Nature Switzerland AG
ISBN9783032184078

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.- Process Mining for E-Government Collaborative Processes Choreography: A Case Study..- ContinuumConductor: Decentralized Process Mining on the Edge-Cloud Continuum..- Filtering at the Edge: Exploring the Privacy-Utility Trade-Off..- 6th International Workshop on Event Data and Behavioral Analytics (EdbA 2025)..- Enabling Object-Centric Process Mining from Time-Series..- A framework for data quality in process discovery..- Process Mining for Object-oriented Processes with Dynamic-temporal Relations..- Towards an Automated Assessment of Deviation Desirability..- A Distance Metric for Object-Centric Process Mining..- Process Mining-Driven Automated Generation of Threat Intelligence Artifacts: From Processes to Attack Flow Models..- Coordinated Projections: A New Approach to Multi-Faceted Process Exploration..- Behavioral Analytics: What does that even mean?..- 4th International Workshop on Education meets Process Mining (EduPM 2025)..- Documenting Process Mining Workflows: A Study on Structured Logging in Educational Settings..- Challenges in Teaching Process Mining: Insights from Process Mining Educators..- 2nd International Workshop on Empirical Research in Process Mining (ERPM 2025)..- Visualizations for Conformance Checking Tasks: An Empirical Assessment of Existing Visualization Idioms and User Preferences..- 2nd International Workshop on Generative AI for Process Mining (GenAI4PM 2025)..- ExOAR: Expert-Guided Object and Activity Recognition from Textual Data..- Knowledge-Driven Hallucination in Large Language Models: An Empirical Study on Process Modeling..- Discovering Declarative Processes in Textual Descriptions using Large Language Models..- Extracting Events from Nursing Notes: a MIMIC-III Case Study..- Vectorizing the Company: Leveraging Multimodal Data for Process Mining..- 6th International Workshop on Leveraging Machine Learning in Process Mining (ML4PM 2025)..- On the Simplification of Neural Network Architectures for Predictive Process Monitoring..- Tackling Multi-Class Imbalance in Next Activity Prediction with Class-Balanced Focal Loss..- Introducing k-Traceoids: A Structure-Preserving Trace Clustering Framework..- Actor-Enriched Time Series Forecasting of Process Performance..- Domain Adaptation of Large Language Models for Process Data..- International Workshop on Personal and Human-Centric Process Mining (PHPM)..- Towards Object-Centric Process Mining for Personal Health Management..- Integrating Wearable Data into Process Mining: Event, Case and Activity Enrichment..- 2nd International Workshop on Process Mining for Sustainability (PM4S 2025)..- Fairness for Process Mining: A Systematic Literature Review..- Discovering and Analyzing Stochastic Processes to Reduce Waste in Food Retail..- Enabling Sustainability-Aware Process Mining: A Systematic approach for Measurement and Registration of Sustainability Data..- 8th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H 2025)..- Predicting Pathway Left Shifts in Hospital Care using Predictive Process Monitoring..- Extraction and Identification of Medications From EHR Notes With LLMs: A Tool and a Case Study..- Applying Process Mining to Radiological Workflows: A Clinical Case Study..- From Clinical Event Logs to Narrative-Based Outcome Prediction with Large Language Models: A Case Study..- Using Process Mining to Analyze Care Pathways in an Outpatient Oncology Clinic: A Case Study from a Brazilian Ambulatory Care Center..- Comparative Analysis of Pharmacotherapy Trajectories in Treatment-Resistant and Non-Resistant Depression..- 10nd International Workshop on Process Querying, Manipulation, and Intelligence (PQMI 2025)..- Process-Level Aggregation and Analysis of Object-Centric Event Data..- Bridging Imperative Process Models and Process Data Queries– Translation and Relaxation..- 5th International Workshop on Stream Management & Analytics for Process Mining (SMA4PM 2025)..- Object-Centric Streaming-Based Process Discovery..- Know Your Streams: On the Conceptualization, Characterization, and Generation of Intentional Event Streams..- Push Your Objects into Streams! Streaming OCPM / Take 1..- International Workshop on Stochastics, Uncertainty and Non- Determinism in Process Mining (SUN-PM)..- Trace Probability Calculation on Probabilistic Process Trees..- Revealing Inherent Concurrency in Event Data: A Partial Order Approach to Process Discovery.