Business Process Management Workshops : BPM 2023 International Workshops, Utrecht, the Netherlands, September 11-15, 2023, Revised Selected Papers.

Format:

Book

Author/Creator:

De Weerdt, Jochen.

Contributor:

Pufahl, Luise.

Series:

Lecture Notes in Business Information Processing Series

Lecture Notes in Business Information Processing Series ; v.492

Language:

English

Subjects (All):

Artificial intelligence.

Internet of things.

Physical Description:

1 online resource (585 pages)

Edition:

1st ed.

Place of Publication:

Cham : Springer International Publishing AG, 2024.

Summary:

The book is a collection of revised selected papers from the BPM 2023 International Workshops, held in Utrecht, The Netherlands. It encompasses a wide range of topics related to Business Process Management (BPM) and provides insights into the latest research and developments in the field. The workshops covered various themes such as artificial intelligence applications in BPM, integration of IoT with BPM, business process intelligence, social and human aspects of BPM, and data-driven optimization of business processes. The volume serves as a resource for researchers and practitioners interested in BPM, offering discussions on challenges and opportunities, as well as innovative approaches and methodologies. The intended audience includes academics, industry professionals, and students in the fields of computer science, information systems, and management. Generated by AI.

Contents:

Intro

Preface

Contents

7th International Workshop in Artificial Intelligence for Business Process Management (AI4BPM 2023)

Preface of the 7th International Workshop on Artificial Intelligence for Business Process Management

Organization

Program Committee

A Responsibility Framework for Computing Optimal Process Alignments

1 Introduction

2 Responsibilities: Definition and Evaluation in a Trace

3 Process Model with Responsibilities

4 Flow and Responsibility Alignments

4.1 Cost Functions for Optimal Alignments

4.2 Computation of the Optimal Alignment

5 Related Work

6 Conclusions and Future Work

References

A Discussion on Generalization in Next-Activity Prediction

2 Background

3 Validity Issues in Existing Research

3.1 Example Leakage

3.2 Baseline and Accuracy Limit

4 Generalization in Process Prediction

4.1 Prediction Scenarios

4.2 Implications

6 Conclusion

An Experiment on Transfer Learning for Suffix Prediction on Event Logs

2 Preliminaries

2.1 Suffix Prediction on Event Logs

2.2 DL Framework

3 Transfer Learning for Suffix Prediction

4 Evaluation

4.1 Experiment Setup

4.2 Results

4.3 Discussion

5 Conclusion

A Case for Business Process-Specific Foundation Models

3 A Business Process Foundation Model

3.1 Overview

3.2 Data Types in Business Processes

3.3 Downstream Tasks

3.4 Model Architecture

4 Evidence of Few-Shot and Transfer Learning

5 Challenges

6 Risks, Opportunities, and Next Steps

Using Reinforcement Learning to Optimize Responses in Care Processes: A Case Study on Aggression Incidents

2 Related Work

3 Methodology

3.1 Data Set.

3.2 Data Cleaning and Preprocessing

3.3 Building the Environment

3.4 Training the Agents

3.5 Evaluation of Policies

4 Results

4.1 Quantitative Results

4.2 Qualitative Results

4.3 Additional Analysis

5 Discussion

ProtoNER: Few Shot Incremental Learning for Named Entity Recognition Using Prototypical Networks

2 Problem Formulation

3 ProtoNER

3.1 Model Architecture

3.2 Training Procedure

4 Experimental Results

4.1 Dataset

4.2 Evaluation

4.3 Comparison Against LayoutLMv2 Model

7th International Workshop on Business Processes Meet the Internet-of-Things (BP-Meet-IoT 2023)

7th International Workshop on Business Processes Meet Internet-of-Things (BP-Meet-IoT 2023)

BP-Meet-IoT 2023 Workshop Chairs

BP-Meet-IoT 2023 Program Committee

Experiences from the Internet-of-Production: Using ``Data-Models-in-the-Middle'' to Fight Complexity and Facilitate Reuse

1 The Internet-of-Production

2 Data-Models-in-the-Middle (DMMs)

3 Example: Object-Centric Event Data (OCED)

4 Example: Measurement and Event Data (MAED)

Analyzing Behavior in Cyber-Physical Systems in Connected Vehicles: A Case Study

3 Related Work

4 Analysis of Connected-Vehicle Data

4.1 Time in States

4.2 Difference in Activity Frequencies

4.3 Decision Mining

An Object-Centric Approach to Handling Concurrency in IoT-Aware Processes

2 Problem Statement and Research Question

3 Handling Concurrency in IoT-Aware Processes

3.1 Object-Centric Processes

3.2 Relational Process Type Structure

3.3 Object Lifecycles

3.4 Coordination Process for Handling Concurrency.

4 Related Work and Discussion

4.1 Related Work

4.2 Discussion

5 Summary and Outlook

Viola: Detecting Violations of Behaviors from Streams of Sensor Data

3 Approach

3.1 Background

3.2 Steps 1a and 1b: Derivation of DFG and Decision Rules

3.3 Step 2: Generation of E-GSM Models from DFGs and Decision Rules

3.4 Step 3: Streaming Processing and Conformance Checking

5 Conclusions and Future Work

An Event-Centric Metamodel for IoT-Driven Process Monitoring and Conformance Checking

2 Motivation

3 Conceptual Metamodel

3.1 Methodology and Requirements

3.2 CAIRO Events

3.3 Monitoring and Conformance Checking Metamodel

3.4 CAIRO Events in the Metamodel

4 Metamodel Validation

4.1 Healthcare Domain

4.2 Smart Manufacturing Domain

6 Conclusion and Future Work

19th International Workshop on Business Process Intelligence (BPI 2022)

19th International Workshop on Business Process Intelligence (BPI)

Workshop Chairs

Relationships Between Change Patterns in Dynamic Event Attributes

3 Preliminaries

4 Approach

4.1 Data Preparation

4.2 Relationships Determined by Correlation Methods

4.3 Correlating Change Patterns with Process Characteristics

5 Evaluation

5.1 Dataset

5.2 Results

6 Discussion

7 Conclusion and Future Work

State of the Art: Automatic Generation of Business Process Models

2 Business Process Modeling

3 Development of Search Protocol

4.1 Descriptive Statistics

4.2 Model Generation Approaches

5.1 Challenges of Business Process Model Generation.

5.2 Improvements Addressing the Challenges

6 Conclusions

Navigating Event Abstraction in Process Mining: A Comprehensive Analysis of Sub-problems, Data, and Process Characteristic Considerations

2 Event Abstraction Process

3 Data for Event Abstraction

3.1 Event Class Sequence

3.2 Event Attributes

3.3 Activity-Related Data

4 Methods for Solving Event Abstraction Sub-problems

4.1 Process Model-Based Event Abstraction Methods

4.2 Preprocessing Methods

4.3 Event Class - Activity Class Mapping Methods

4.4 Event Instance - Activity Class Mapping Methods

4.5 Event Instance - Activity Instance Mapping Methods

5 Process Property Consideration

5.1 Process Properties

5.2 Analysis Method

5.3 Analysis Result

6 Discussion and Conclusion

Timed Alignments with Mixed Moves

2 Preliminaries: Edit Moves for Timed Words

3 Computing Mixed Distances

3.1 Notation and Setup

3.2 Computing the Evenly Mixed Distance d1 on Traces

3.3 Computing and Aligning d for 2

4 Purely Timed Alignment Under d1 for Sequential Models

5 Implementation

6 Perspectives and Conclusion

16th International Workshop on Social and Human Aspects of Business Process Management (BPMS2 2023)

Social and Human Aspects of Business Process Management (BPMS2 2023)

Integrating Social Media and Business Process Management: Exploring the Role of AI Agents and the Benefits for Agility

2.1 Agile BPM

2.2 Social BPM

3 SM-Based Process Management

3.1 Mapping Between SM Concepts and BPM Concepts

3.2 Application of SM in Implementing the Agility Framework

4 Robust Agility Framework Through AI Agents in SM

4.1 Benefits of an AI Agent in the SM Platform.

4.2 Augmentation of the Agility Framework by the AI Agent

Design Principles for Using Business Process Management Systems

2 BPMS and Design Principles in BPM

3 Method

3.1 Stage I: Problem Formulation

3.2 Stage II: Building, Intervention Evaluation

3.3 Stage III: Reflection and Learning

3.4 Stage IV: Formalization of Learning

4 Design Principles

5 Discussion and Conclusion

Towards a Measurement Instrument for Assessing Capabilities When Innovating Less-Structured Business Processes

2 Theoretical Background

2.1 Underlying Theories

2.2 BPM-Related Capabilities

3 Research Methods

3.1 Delphi Study for Instrument Development

3.2 Two Illustrative Case Studies for Instrument Testing

4 Result

4.1 Delphi Results

4.2 Illustrative Case Study Results

5.1 Theoretical Implications

5.2 Practical Implications

5.3 Research Limitations and Future Research Avenues

2nd International Workshop on Data-Driven Business Process Optimization (BPO 2023)

Second International Workshop on Data-Driven Business Process Optimization (BPO)

Workshop Organization

Organizing Committee

Timed Process Interventions: Causal Inference vs. Reinforcement Learning

2 Background and Related Work

2.1 Causal Inference

2.2 Reinforcement Learning

2.3 Research Gap

3 Experimental Comparison of CI and RL

3.1 Data Generation

3.2 Experimental Setup

3.3 Results

4 Discussion

Towards Data-Driven Business Process Redesign Through the Lens of Process Mining Case Studies

3 Research Methodology

4

4.1 Process Mining Analysis.

4.2 Process Mining Technique.

Notes:

Description based on publisher supplied metadata and other sources.

Part of the metadata in this record was created by AI, based on the text of the resource.

Other Format:

Print version: De Weerdt, Jochen Business Process Management Workshops

ISBN:

9783031509742