CHF 56.90

Process Mining Workshops
ICPM 2024 International Workshops, Lyngby, Denmark, October 14-18, 2024, Revised Selected Papers

Inglese · Tascabile

Spedizione di solito entro 6 a 7 settimane

Descrizione

Ulteriori informazioni

This book constitutes the revised accepted papers of several workshops which were held in conjunction with the 6th International Conference on Process Mining, ICPM 2024, held in Lyngby, Denmark, during October 2024.
The 56 revised full papers presented in this book were carefully reviewed and selected from 126 submissions.
The papers presented in this volume stem from the following workshops:
9th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI)
3rd International Workshop on Education Meets Process Mining (EduPM)
3rd International Workshop on Collaboration Mining for Distributed Systems (CoMinDS)
5th International Workshop on Leveraging Machine Learning in Process Mining (ML4PM)
5th International Workshop on Event Data and Behavioral Analytics (EdbA)
7th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H)
1st International Workshop on Empirical Research in Process Mining (ERPM)
1st International Workshop on Generative Artificial Intelligence for Process Mining (GenAI4PM)
4th International Workshop on Stream Management & Analytics for Process Mining (SMA4PM)
1st International Workshop on Process Mining for Sustainability (PM4S).

Riassunto

This book constitutes the revised accepted papers of several workshops which were held in conjunction with the 6th International Conference on Process Mining, ICPM 2024, held in Lyngby, Denmark, during October 2024.
The 56 revised full papers presented in this book were carefully reviewed and selected from 126 submissions.
The papers presented in this volume stem from the following workshops:
– 9th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI)
– 3rd International Workshop on Education Meets Process Mining (EduPM)
– 3rd International Workshop on Collaboration Mining for Distributed Systems (CoMinDS)
– 5th International Workshop on Leveraging Machine Learning in Process Mining (ML4PM)
– 5th International Workshop on Event Data and Behavioral Analytics (EdbA)
– 7th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H)
– 1st International Workshop on Empirical Research in Process Mining (ERPM)
– 1st International Workshop on Generative Artificial Intelligence for Process Mining (GenAI4PM)
– 4th International Workshop on Stream Management & Analytics for Process Mining (SMA4PM)
– 1st International Workshop on Process Mining for Sustainability (PM4S).

Dettagli sul prodotto

Con la collaborazione di Andrea Delgado (Editore), Slaats (Editore), Tijs Slaats (Editore)
Editore Springer, Berlin
 
Contenuto Libro
Forma del prodotto Tascabile
Data pubblicazione 06.02.2025
Categoria Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Informatica
 
EAN 9783031822247
ISBN 978-3-0-3182224-7
Numero di pagine 781
Illustrazioni XVI, 781 p. 204 illus., 164 illus. in color.
Dimensioni (della confezione) 15.5 x 4.3 x 23.5 cm
Peso (della confezione) 1’189 g
 
Serie Lecture Notes in Business Information Processing > 533
Categorie machine learning, Maschinelles Lernen, Artificial Intelligence, Wirtschaftsmathematik und -informatik, IT-Management, Open Access, Wissensbasierte Systeme, Expertensysteme, Computeranwendungen in Industrie und Technologie, Business Intelligence, Business Process Management, Empirical Research, Health Informatics, Information systems, Data Mining and Knowledge Discovery, Computers and Education, Computer Application in Administrative Data Processing, Enterprise modeling, conformance checking, healthcare systems, Machine Learnig, Decision Supprt Systems
 

Recensioni dei clienti

Per questo articolo non c'è ancora nessuna recensione. Scrivi la prima recensione e aiuta gli altri utenti a scegliere.

Scrivi una recensione

Top o flop? Scrivi la tua recensione.

Per i messaggi a CeDe.ch si prega di utilizzare il modulo di contatto.

I campi contrassegnati da * sono obbligatori.

Inviando questo modulo si accetta la nostra dichiarazione protezione dati.