Description
Book Synopsis.- 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.
.-&nb
