Process Mining : Icpm 2020 International Workshops, Padua, Italy, October 5?8, 2020, Revised Selected Papers

Leemans, Sander (EDT); Leopold, Henrik (EDT)

ISBN 10: 3030726924 / ISBN 13: 9783030726928

Editore: Springer, 2021

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Dati bibliografici

• Titolo: Process Mining : Icpm 2020 International Workshops, Padua, Italy, October 5?8, 2020, Revised Selected Papers
• Editore: Springer
• Data di pubblicazione: 2021
• Lingua: Inglese
• ISBN 10: 3030726924
• ISBN 13: 9783030726928
• Rilegatura: Brossura
• Condizione: As New

Descrizione articolo

Riassunto

This book constitutes revised selected papers from the International Workshops held at the Second International Conference on Process Mining, ICPM 2020, which took place during October 4-9, 2020. The conference was planned to take place in Padua, Italy, but had to be held online due to the COVID-19 pandemic.

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 29 papers included in this volume were carefully reviewed and selected from 59 submissions. They stem from the following workshops:

1st International Workshop on Event Data and Behavioral Analytics (EDBA)

1st International Workshop on Leveraging Machine Learning in Process Mining (ML4PM)

1st International Workshop on Streaming Analytics for Process Mining (SA4PM'20)

5th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI)

3rd International Workshop on Process-Oriented Data Science for Healthcare (PODS4H)

1st International Workshop on Trust and Privacy in Process Analytics (TPPA)

 

Dalla quarta di copertina

This book constitutes revised selected papers from the International Workshops held at the Second International Conference on Process Mining, ICPM 2020, which took place during October 4-9, 2020. The conference was planned to take place in Padua, Italy, but had to be held online due to the COVID-19 pandemic.

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 29 papers included in this volume were carefully reviewed and selected from 59 submissions. They stem from the following workshops:

1st International Workshop on Event Data and Behavioral Analytics (EDBA)

1st International Workshop on Leveraging Machine Learning in Process Mining (ML4PM)

1st International Workshop on Streaming Analytics for Process Mining (SA4PM'20)

5th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI)

3rd International Workshop on Process-Oriented Data Science for Healthcare (PODS4H)

1st International Workshop on Trust and Privacy in Process Analytics (TPPA)