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Author:   Andrea Delgado ,  Tijs Slaats
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Volume:   533
ISBN:  

9783031822247

ISBN 10:   3031822242
Pages:   781
Publication Date:   28 March 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

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?.

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