This book constitutes the revised accepted papers of several workshops which were held in conjunction with the 6th International Conference on Process Mining, ICPM 2024, held in Lyngby, Denmark, during October 2024.
The 56 revised full papers presented in this book were carefully reviewed and selected from 126 submissions.
The papers presented in this volume stem from the following workshops:
- 9th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI)
- 3rd International Workshop on Education Meets Process Mining (EduPM)
- 3rd International Workshop on Collaboration Mining for Distributed Systems (CoMinDS)
- 5th International Workshop on Leveraging Machine Learning in Process Mining (ML4PM)
- 5th International Workshop on Event Data and Behavioral Analytics (EdbA)
- 7th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H)
- 1st International Workshop on Empirical Research in Process Mining (ERPM)
- 1st International Workshop on Generative Artificial Intelligence for Process Mining (GenAI4PM)
- 4th International Workshop on Stream Management & Analytics for Process Mining (SMA4PM)
- 1st International Workshop on Process Mining for Sustainability (PM4S).
Table of Contents:
.- 9th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI 2024).
- An LLM-based Q&A Natural Language Interface to Process Mining.
.- One Language to Rule them All: Behavioural Querying of Process Data using SQL.
.- EVErPREP: Towards an Event Knowledge Graph enhanced Workflow Model for Event Log Preparation.
.- Representative Sampling in Process Mining: Two Novel Sampling Algorithms for Event Logs.
.- Root Cause Analysis Using Rule Mining on Object-Centric Event Logs.
.- The Jensen-Shannon Distance Metric for Stochastic Conformance Checking.
.- A Dynamic Programming Approach for Alignments on Process Trees.
.- 3rd International Workshop on Education meets Process Mining (EduPM 2024).
.- Constructive Alignment in Process Mining.
.- Understanding Student Behavior using Active Window Tracking and Process Mining.
.- Measuring Skill Acquisition and Retention: A Case Study of Math Fluency.
.- Assessing the impact of exam preparation process on students’ careers.
.- Evaluation of Study Plans using Partial Orders.
.- 3rd International Workshop on COllaboration MINing for Distributed Systems (COMINDS 2024).
.- Towards Standardized Modeling of Collaboration Processes in Collaboration Process Discovery.
.- Revealing One-to-Many Event Relationships in Event Knowledge Graphs.
.- 5th International Workshop on Leveraging Machine learning in Process Mining (ML4PM 2024).
.- On the Impact of Low-Quality Activity Labels in Predictive Process Monitoring.
.- Towards Accurate Predictions in ITSM: A Study on Transformer-Based Predictive Process Monitoring.
.- Predictions in Predictive Process Monitoring with Previously Unseen Categorical Values.
.- Differentially Private Event Logs with Case Attributes.
.- CaLenDiR: Mitigating Case-Length Distortion in Deep-Learning-Based Predictive Process Monitoring.
.- CC-HIT: Creating Counterfactuals from High-Impact Transitions.
.- Multivariate Approaches for Process Model Forecasting.
.- Enhancing Predictive Process Monitoring using semantic information.
.- 5th International Workshop on Event Data & Behavioral Analytics (EdbA 2024).
.- A Classification of Data Quality Issues in Object-Centric Event Data.
.- Analyzing the Evolution of Boards in Collaborative Work Management Tools.
.- Extending Process Intelligence with Quantity-related Process Mining.
.- Ranking the Top-K Realizations of Stochastically Known Event Logs.
.- Framework for Extracting Real-World Object-Centric Event Logs from Game Data.
.- Object-Centric Local Process Models.
.- Locally Optimized Process Tree Discovery.
.- A Framework for Advanced Case Notions in Object-Centric Process Mining.
.- 7th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H 2024).
.- Predicting Unplanned Hospital Readmissions using Outcome-Oriented Predictive Process Mining (Research Paper).
.- Structural and semantic enrichment of models for the interactive discovery of clinical processes.
.- Research Paper: Enhancing Healthcare Decision-Making with Analogy-Based Reasoning.
.- Analysing Disease Trajectories of Multimorbidity through Process Mining Techniques: A Case Study.
.- Predictive Insights for Personalising Esophagogastric Cancer Treatment Process - A Case Study.
.- Case Study: Insights on Prostate Cancer Treatment Pathways using Process Discovery.
.- 1st International Workshop on Empirical Research in Process Mining (ERPM 2024).
.- A Taxonomy for Conformance Checking Visualizations.
.- Structuring Empirical Research on Process Mining at the Individual Level using the Theory of Effective Use.
.- Improving Business Processes through Hybrid Simulation Model: A Case Study.
.- Leveraging Process Mining on the Shop Floor: An Exploratory Study.
.- Using Facial Expressions to Predict Process Mining Task Performance.
.- Using Process Mining with Pre- and Post-Intervention Analysis to Improve Digital Service Delivery: A Governmental Case Study.
.- Towards an Ethogram of Exploratory Process Mining Behavior.
.- 1st International Workshop on Generative Artificial Intelligence for Process Mining (GenAI4PM 2024).
.- Local Large Language Models for Business Process Modeling.
.- PM-LLM-Benchmark: Evaluating Large Language Models on Process Mining Tasks.
.- Terpsichora: a tool to generate synthetic MP-Declare process models.
.- Process Modeler vs. Chatbot: Is Generative AI Taking Over Process Modeling?.
.- Skill Learning Using Process Mining for Large Language Model Plan Generation.
.- Providing domain knowledge for process mining with ReWOO-based agents.
.- International Workshop on Stream Management & Analytics for Process Mining (SMA4PM 2024).
.- Detect & Conquer: Template-Based Analysis of Processes using Complex Event Processing.
.- Task-Free Continual Learning with Dynamic Loss for Online Next Activity Prediction.
.- 1st International Workshop on Process Mining for Sustainability (PM4S 2024).
.- Process Mining Guidelines for Greenhouse Gas Emission Management in Production Processes.
.- Sustainability Analysis Patterns for Process Mining and Process Modelling Approaches.
.- Towards Nudging in BPM: A Human-Centric Approach for Sustainable Business Processes.
.- Extending Genetic Process Discovery to Reveal Unfairness in Processes.
.- Can We Leverage Process Data from ERP Systems for Business Process Sustainability Analyses?.
.- 9th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI 2024).
- An LLM-based Q&A Natural Language Interface to Process Mining.
.- One Language to Rule them All: Behavioural Querying of Process Data using SQL.
.- EVErPREP: Towards an Event Knowledge Graph enhanced Workflow Model for Event Log Preparation.
.- Representative Sampling in Process Mining: Two Novel Sampling Algorithms for Event Logs.
.- Root Cause Analysis Using Rule Mining on Object-Centric Event Logs.
.- The Jensen-Shannon Distance Metric for Stochastic Conformance Checking.
.- A Dynamic Programming Approach for Alignments on Process Trees.
.- 3rd International Workshop on Education meets Process Mining (EduPM 2024).
.- Constructive Alignment in Process Mining.
.- Understanding Student Behavior using Active Window Tracking and Process Mining.
.- Measuring Skill Acquisition and Retention: A Case Study of Math Fluency.
.- Assessing the impact of exam preparation process on students’ careers.
.- Evaluation of Study Plans using Partial Orders.
.- 3rd International Workshop on COllaboration MINing for Distributed Systems (COMINDS 2024).
.- Towards Standardized Modeling of Collaboration Processes in Collaboration Process Discovery.
.- Revealing One-to-Many Event Relationships in Event Knowledge Graphs.
.- 5th International Workshop on Leveraging Machine learning in Process Mining (ML4PM 2024).
.- On the Impact of Low-Quality Activity Labels in Predictive Process Monitoring.
.- Towards Accurate Predictions in ITSM: A Study on Transformer-Based Predictive Process Monitoring.
.- Predictions in Predictive Process Monitoring with Previously Unseen Categorical Values.
.- Differentially Private Event Logs with Case Attributes.
.- CaLenDiR: Mitigating Case-Length Distortion in Deep-Learning-Based Predictive Process Monitoring.
.- CC-HIT: Creating Counterfactuals from High-Impact Transitions.
.- Multivariate Approaches for Process Model Forecasting.
.- Enhancing Predictive Process Monitoring using semantic information.
.- 5th International Workshop on Event Data & Behavioral Analytics (EdbA 2024).
.- A Classification of Data Quality Issues in Object-Centric Event Data.
.- Analyzing the Evolution of Boards in Collaborative Work Management Tools.
.- Extending Process Intelligence with Quantity-related Process Mining.
.- Ranking the Top-K Realizations of Stochastically Known Event Logs.
.- Framework for Extracting Real-World Object-Centric Event Logs from Game Data.
.- Object-Centric Local Process Models.
.- Locally Optimized Process Tree Discovery.
.- A Framework for Advanced Case Notions in Object-Centric Process Mining.
.- 7th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H 2024).
.- Predicting Unplanned Hospital Readmissions using Outcome-Oriented Predictive Process Mining (Research Paper).
.- Structural and semantic enrichment of models for the interactive discovery of clinical processes.
.- Research Paper: Enhancing Healthcare Decision-Making with Analogy-Based Reasoning.
.- Analysing Disease Trajectories of Multimorbidity through Process Mining Techniques: A Case Study.
.- Predictive Insights for Personalising Esophagogastric Cancer Treatment Process - A Case Study.
.- Case Study: Insights on Prostate Cancer Treatment Pathways using Process Discovery.
.- 1st International Workshop on Empirical Research in Process Mining (ERPM 2024).
.- A Taxonomy for Conformance Checking Visualizations.
.- Structuring Empirical Research on Process Mining at the Individual Level using the Theory of Effective Use.
.- Improving Business Processes through Hybrid Simulation Model: A Case Study.
.- Leveraging Process Mining on the Shop Floor: An Exploratory Study.
.- Using Facial Expressions to Predict Process Mining Task Performance.
.- Using Process Mining with Pre- and Post-Intervention Analysis to Improve Digital Service Delivery: A Governmental Case Study.
.- Towards an Ethogram of Exploratory Process Mining Behavior.
.- 1st International Workshop on Generative Artificial Intelligence for Process Mining (GenAI4PM 2024).
.- Local Large Language Models for Business Process Modeling.
.- PM-LLM-Benchmark: Evaluating Large Language Models on Process Mining Tasks.
.- Terpsichora: a tool to generate synthetic MP-Declare process models.
.- Process Modeler vs. Chatbot: Is Generative AI Taking Over Process Modeling?.
.- Skill Learning Using Process Mining for Large Language Model Plan Generation.
.- Providing domain knowledge for process mining with ReWOO-based agents.
.- International Workshop on Stream Management & Analytics for Process Mining (SMA4PM 2024).
.- Detect & Conquer: Template-Based Analysis of Processes using Complex Event Processing.
.- Task-Free Continual Learning with Dynamic Loss for Online Next Activity Prediction.
.- 1st International Workshop on Process Mining for Sustainability (PM4S 2024).
.- Process Mining Guidelines for Greenhouse Gas Emission Management in Production Processes.
.- Sustainability Analysis Patterns for Process Mining and Process Modelling Approaches.
.- Towards Nudging in BPM: A Human-Centric Approach for Sustainable Business Processes.
.- Extending Genetic Process Discovery to Reveal Unfairness in Processes.
.- Can We Leverage Process Data from ERP Systems for Business Process Sustainability Analyses?.
