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Titolo: |
Process Mining Workshops : ICPM 2022 International Workshops, Bozen-Bolzano, Italy, October 23–28, 2022, Revised Selected Papers / / edited by Marco Montali, Arik Senderovich, Matthias Weidlich
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Pubblicazione: | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
Edizione: | 1st ed. 2023. |
Descrizione fisica: | 1 online resource (XI, 592 p. 188 illus., 140 illus. in color.) |
Disciplina: | 006.312 |
Soggetto topico: | 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 | |
Persona (resp. second.): | MontaliMarco |
SenderovichArik | |
WeidlichMatthias | |
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). |
Titolo autorizzato: | Process mining workshops ![]() |
ISBN: | 3-031-27815-1 |
Formato: | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910682537203321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |