Process Mining Workshops
portes grátis
Process Mining Workshops
ICPM 2025 International Workshops, Montevideo, Uruguay, October 20-24, 2025, Revised Selected Papers
Di Ciccio, Claudio; Sepulveda, Marcos
Springer Nature Switzerland AG
05/2026
501
Mole
Inglês
9783032184078
Pré-lançamento - envio 15 a 20 dias após a sua edição
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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.
.- 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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Process Mining;Business Process Management;Business Process Management Systems;Business Process Monitoring;Business Intelligence;Decision Support Systems;Enterprise Information Systems;Information Systems;Information Systems Engineering;Information Systems Applications;Artificial Intelligence;Machine Learning;IT Governance;Enterprise Modeling;Business Rules;Reference Models;Event-Driven Architectures;Logic and Verification;Formal Methods;Petri Nets
.- 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.
.- 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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Process Mining;Business Process Management;Business Process Management Systems;Business Process Monitoring;Business Intelligence;Decision Support Systems;Enterprise Information Systems;Information Systems;Information Systems Engineering;Information Systems Applications;Artificial Intelligence;Machine Learning;IT Governance;Enterprise Modeling;Business Rules;Reference Models;Event-Driven Architectures;Logic and Verification;Formal Methods;Petri Nets
