Process Mining Workshops : ICPM 2023 International Workshops, Rome, Italy, October 23–27, 2023, Revised Selected Papers / edited by Johannes De Smedt, Pnina Soffer.

Format:

Book

Contributor:

De Smedt, Johannes, editor.

Soffer, Pnina, editor.

Series:

Lecture Notes in Business Information Processing, 1865-1356 ; 503

Language:

English

Subjects (All):

Data mining.

Information technology--Management.

Information technology.

Machine learning.

Medical informatics.

Data Mining and Knowledge Discovery.

Business Process Management.

Machine Learning.

Computer Application in Administrative Data Processing.

Health Informatics.

Local Subjects:

Data Mining and Knowledge Discovery.

Business Process Management.

Machine Learning.

Computer Application in Administrative Data Processing.

Health Informatics.

Physical Description:

1 online resource (XXIV, 514 p. 181 illus., 127 illus. in color.)

Edition:

1st ed. 2024.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2024.

Summary:

This volume constitutes the revised selected papers of several workshops which were held in conjunction with the 5th International Conference on Process Mining, ICPM 2023, held in Rome, Italy, in October 23–27, 2023. The 38 revised full papers presented in this book were carefully reviewed and selected from 85 submissions. The book also contains one invited talk. ICPM 2023 presented the following six workshops: – 4th International Workshop on Event Data and Behavioral Analytics (EdbA) – 4th International Workshop on Leveraging Machine Learning in Process Mining (ML4PM) – 6th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H) – 8th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI) – 2nd International Workshop on Education Meets Process Mining (EduPM) – 2nd International Workshop on Collaboration Mining for Distributed Systems (COMINDS).

Contents:

4th International Workshop on Event Data and Behavioral Analytics (EdbA’23)

4th International Workshop on Event Data and Behavioral Analytics (EdbA’23)

Analysing the Foraging Behaviour of Bees using Process Mining: A Case Study

Tiramisu: A Recipe for Visual Sensemaking of Multi-Faceted Process Information

NICE: The Native Iot-Centric Event Log Model for Process Mining

CaseID detection for Process Mining: a heuristic-based methodology

Parallelism-based Session Creation to Identify High-Level Activities in Event Log Abstraction

From OCEL to DOCEL - Datasets and Automated Transformation

Event Knowledge Graphs for Auditing: A Case Study

Turning Logs Into Lumber: Preprocessing Tasks in Process Mining

Improving Precision in Process Trees Using Subprocess Tree Logs

Generating Process Anomalies with Markov Chains: A Pattern-Driven Approach

4th International Workshop in Leveraging Machine Learning for Process Mining (ML4PM 2023)

Sparse Mixtures of Shallow Linear Experts for Interpretable and Fast Outcome Prediction

Understanding the impact of design choices on the performance of predictive process monitoring

Discovering Process-Based Drivers for Case-Level Outcome Explanation

Detecting Anomalous Events in Object-centric Business Processes via Graph Neural Networks

Uncovering the Hidden Significance of Activities Location in Predictive Process Monitoring

6th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H 2023)

Using Process Mining to Explore the Impact of Socio-economic Status on the Treatment of Musculoskeletal Disorders - A Case Study

Identifying Variation in Personal Daily Routine Through Process Mining: A Case Study

Investigating an Ontology-Informed Approach to Event Log Generation in Healthcare (Research Paper)

I-PALIA: Discovering BPMN Processes with Duplicated Activities for Healthcare Domains

Enhancing Clinical Insights: Knowledge-intensive and context-sensitive process instance visualization in health care - Research Paper

Hypergraphs for Frailty Analysis

Ontology-based Multi-Perspective Process Mining in Laboratories: A Case Study

Clinical event knowledge graphs: Enriching healthcare event data with entities and clinical concepts - ”Research Paper”

Error-Correcting Methodology for Evaluating Compliance to Clinical Guidelines: a Case Study on Rectal Cancer

2nd International Workshop Education meets Process Mining (EduPM 2023)

Exploring Gamification in Process Mining Education: Towards a Playful and Engaging Approach

Process Mining Techniques for Collusion Detection in Online Exams

Evidence-based Student Career and Performance Analysis with Process Mining: a Case study

Extracting Rules from Event Data for Study Planning

8th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI 2023)

LLMs and Process Mining: Challenges in RPA

Checking Constraints for Object-Centric Process Executions

Analyzing An After-Sales Service Process Using Object-Centric Process Mining: A Case Study

Grouping Local Process Models

Implementing Object-Centric Event Data Models in Event Knowledge Graphs

2nd International Workshop on Collaboration Mining for Distributed Systems (CoMinDS’23)

Unraveling the Fabric of Intertwined Processes: How Object-Centric Process Mining is changing the way we improve operational processes

Petri Net Classes for Collaboration Mining: Assessment and Design Guidelines

From Identities to Quantities: Introducing Items and Decoupling Points to Object-centric Process Mining

Mapping Artifact-driven Monitoring Results Back to BPMN Process Diagrams

An approach for discovering inter-organizational collaborative business processes in BPMN 2.0

Breaking Down Barriers with Knowledge Graphs: Data Integration for Cross-Organizational Process Mining.

Notes:

Includes bibliographical references and index.

ISBN:

9783031561078

3031561074