Fabrizio Maria Maggi – författare

This book constitutes the proceedings of the 26th International Conference on Enterprise Design, Operations, and Computing, EDOC 2022, which took place in Bozen-Bolzano, Italy, in October 2022. The 15 full papers included in this book were carefully reviewed and selected from 48 submissions. They were organized in topical sections as follows: enterprise security; enterprise architecture; business process modeling and monitoring; business process mining and discovery; and process-driven applications.

This book constitutes revised selected papers from the international workshops, the EDOC Forum and the Demonstration and Doctoral Consortium track, that were held at the 26th International Conference on Enterprise Design, Operations, and Computing, EDOC 2022. The conference took place in Bozen-Bolzano, Italy, during October 3–7, 2022.The conference focuses on the area of enterprise computing, this year with the special emphasis on the theme of designing and operating “Flexible Enterprises”. Workshops within EDOC cover more focused topics and allow for the presentation and discussion of work that is in the earlier development stages.The 18 full and 8 short papers included in this volume were carefully reviewed and selected from 82 submissions. They stem from the following satellite events:– Workshop on Intelligent Digital Architecture, Methods, and Services for Industry 4.0 and Society 5.0 (IDAMS)– 14th Workshop on Service-oriented Enterprise Architecture for Enterprise Engineering (SoEA4EE)– 17th Workshop on Trends in Enterprise Architecture Research (TEAR)– EDOC Forum– Demonstrations Track– Doctoral Consortium

This book constitutes revised selected papers from the international workshops, the EDOC Forum and the Demonstration and Doctoral Consortium track, that were held at the 26th International Conference on Enterprise Design, Operations, and Computing, EDOC 2022. The conference took place in Bozen-Bolzano, Italy, during October 3–7, 2022.

The conference focuses on the area of enterprise computing, this year with the special emphasis on the theme of designing and operating “Flexible Enterprises”. Workshops within EDOC cover more focused topics and allow for the presentation and discussion of work that is in the earlier development stages.

The 18 full and 8 short papers included in this volume were carefully reviewed and selected from 82 submissions. They stem from the following satellite events:

– Workshop on Intelligent Digital Architecture, Methods, and Services for Industry 4.0 and Society 5.0 (IDAMS)

– 14th Workshop on Service-oriented Enterprise Architecture for Enterprise Engineering (SoEA4EE)

– 17th Workshop on Trends in Enterprise Architecture Research (TEAR)

– EDOC Forum

– Demonstrations Track

– Doctoral Consortium

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.