1.

Record Nr.

UNISA996547957303316

Titolo

Process Mining Workshops [[electronic resource] ] : ICPM 2022 International Workshops, Bozen-Bolzano, Italy, October 23–28, 2022, Revised Selected Papers / / edited by Marco Montali, Arik Senderovich, Matthias Weidlich

Pubbl/distr/stampa

Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023

ISBN

3-031-27815-1

Edizione

[1st ed. 2023.]

Descrizione fisica

1 online resource (XI, 592 p. 188 illus., 140 illus. in color.)

Collana

Lecture Notes in Business Information Processing, , 1865-1356 ; ; 468

Disciplina

006.312

Soggetti

Data mining

Information technology—Management

Machine learning

Medical informatics

Data Mining and Knowledge Discovery

Business Process Management

Machine Learning

Computer Application in Administrative Data Processing

Health Informatics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Includes author index.

Sommario/riassunto

This open access book constitutes revised selected papers from the International Workshops held at the 4th International Conference on Process Mining, ICPM 2022, which took place in Bozen-Bolzano, Italy, during October 23–28, 2022. The conference focuses on the area of process mining research and practice, including theory, algorithmic challenges, and applications. The co-located workshops provided a forum for novel research ideas. The 42 papers included in this volume were carefully reviewed and selected from 89 submissions. They stem from the following workshops: – 3rd International Workshop on Event Data and Behavioral Analytics (EDBA) – 3rd International Workshop on Leveraging Machine Learning in Process Mining (ML4PM) – 3rd



International Workshop on Responsible Process Mining (RPM) (previously known as Trust, Privacy and Security Aspects in Process Analytics) – 5th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H) – 3rd International Workshop on Streaming Analytics for Process Mining (SA4PM) – 7th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI) – 1st International Workshop on Education meets Process Mining (EduPM) – 1st International Workshop on Data Quality and Transformation in Process Mining (DQT-PM).