Chiara Di Francescomarino – författare

This book constitutes revised papers from the twelve International Workshops held at the 17th International Conference on Business Process Management, BPM 2019, in Vienna, Austria, in September 2019:The third International Workshop on Artificial Intelligence for Business Process Management (AI4BPM)The third International Workshop on Business Processes Meet Internet-of-Things (BP-Meet-IoT)The 15th International Workshop on Business Process Intelligence (BPI)The first International Workshop on Business Process Management in the era of Digital Innovation and Transformation (BPMinDIT)The 12th International Workshop on Social and Human Aspects of Business Process Management (BPMS2)The 7th International Workshop on Declarative, Decision and Hybrid approaches to processes (DEC2H)The second International Workshop on Methods for Interpretation of Industrial Event Logs (MIEL)The first International Workshop on Process Management in Digital Production (PM-DiPro)The second International Workshop on Process-Oriented Data Science for Healthcare (PODS4H)The fourth International Workshop on Process Querying (PQ)The second International Workshop on Security and Privacy-enhanced Business Process Management (SPBP)The first International Workshop on the Value and Quality of Enterprise Modelling (VEnMo)Each of the workshops discussed research still in progress and focused on aspects of business process management, either a particular technical aspect or a particular application domain. These proceedings present the work that was discussed during the workshops.

This book constitutes revised papers from the twelve International Workshops held at the 17th International Conference on Business Process Management, BPM 2019, in Vienna, Austria, in September 2019:

The third International Workshop on Artificial Intelligence for Business Process Management (AI4BPM)The third International Workshop on Business Processes Meet Internet-of-Things (BP-Meet-IoT)The 15th International Workshop on Business Process Intelligence (BPI)The first International Workshop on Business Process Management in the era of Digital Innovation and Transformation (BPMinDIT)The 12th International Workshop on Social and Human Aspects of Business Process Management (BPMS2)The 7th International Workshop on Declarative, Decision and Hybrid approaches to processes (DEC2H)The second International Workshop on Methods for Interpretation of Industrial Event Logs (MIEL)The first International Workshop on Process Management in Digital Production (PM-DiPro)The second International Workshop on Process-Oriented Data Science for Healthcare (PODS4H)The fourth International Workshop on Process Querying (PQ)The second International Workshop on Security and Privacy-enhanced Business Process Management (SPBP)The first International Workshop on the Value and Quality of Enterprise Modelling (VEnMo)

Each of the workshops discussed research still in progress and focused on aspects of business process management, either a particular technical aspect or a particular application domain. These proceedings present the work that was discussed during the workshops.

This book constitutes the refereed proceedings of the 21st International Conference on Business Process Management, BPM 2023, which took place in Utrecht, The Netherlands, in September 2023. The 27 papers included in this book were carefully reviewed and selected from 151 submissions. They were organized in three main research tracks: Foundations, engineering, and management.

This book constitutes the refereed proceedings of the 21st International Conference on Business Process Management, BPM 2023, which took place in Utrecht, The Netherlands, in September 2023. The 27 papers included in this book were carefully reviewed and selected from 151 submissions. They were organized in three main research tracks: Foundations, engineering, and management. 

This book constitutes the proceedings of the BPM Forum held at the 21st International Conference on Business Process Management, BPM 2023, which took place in Utrecht, The Netherlands, in September 2023. The BPM Forum hosts innovative research which has a high potential of stimulating discussions. The papers selected for the forum are expected to showcase fresh ideas from exciting and emerging topics in BPM, even if they are not yet as mature as the regular papers at the conference.The 23 full papers included in this volume were carefully reviewed and selected from a total of 151 submissions to the conference. The papers were organized in research tracks on foundations, engineering, and management.

This book constitutes the proceedings of the BPM Forum held at the 21st International Conference on Business Process Management, BPM 2023, which took place in Utrecht, The Netherlands, in September 2023. The BPM Forum hosts innovative research which has a high potential of stimulating discussions. The papers selected for the forum are expected to showcase fresh ideas from exciting and emerging topics in BPM, even if they are not yet as mature as the regular papers at the conference.

The 23 full papers included in this volume were carefully reviewed and selected from a total of 151 submissions to the conference. The papers were organized in research tracks on foundations, engineering, and management. 

This book provides a comprehensive, structured, and accessible resource that covers both foundational aspects and advanced topics of predictive process monitoring (PPM). It introduces the key building blocks of PPM from preliminary notions and core libraries to bucketing and encoding strategies, learning methods, and validation techniques. At the same time, the book extends its reach to advanced themes such as neuro-symbolic PPM, explainability, multi-modal predictive monitoring, and prescriptive approaches. This dual scope makes it both an introductory text and a reference work for advanced study.The presentation is organized in seven chapters. Chapter 1 introduces the reader to the field, including its preliminaries and a helicopter view of PPM. Next, chapter 2 presents the tools and libraries that support implementation. Chapters 3 and 4 then delve into core data preparation aspects: prefix generation, bucketing, and encoding techniques. Chapter 5 discusses learning approaches, while Chapter 6 focuses on validation and testing. Finally, Chapter 7 highlights advanced topics that represent the current frontier of the field. Each chapter is enriched with exercises to facilitate learning and with notes to provide further reading.This book mainly aims at graduate students and researchers in computer science, information systems, and data science who wish to gain a deep understanding of PPM. It is also designed for educators, who will find the structured exposition, exercises, and references suitable for designing and teaching courses on process mining and predictive analytics. Eventually, practitioners and professionals in industry will benefit from the guidance on applying PPM techniques to optimize and innovate their organizational processes.