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Process mining: data science in action

The first to cover this missing link between data mining and process modeling, this book provides real-world techniques for monitoring and analyzing processes in real time. It is a powerful new tool destined to play a key role in business process management.

Detalles Bibliográficos
Autor principal: van der Aalst, Wil
Lenguaje:eng
Publicado: Springer 2016
Materias:
Acceso en línea:http://cds.cern.ch/record/2158355
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author van der Aalst, Wil
author_facet van der Aalst, Wil
author_sort van der Aalst, Wil
collection CERN
description The first to cover this missing link between data mining and process modeling, this book provides real-world techniques for monitoring and analyzing processes in real time. It is a powerful new tool destined to play a key role in business process management.
id cern-2158355
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2016
publisher Springer
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spelling cern-21583552021-04-21T19:40:29Zhttp://cds.cern.ch/record/2158355engvan der Aalst, WilProcess mining: data science in actionComputing and ComputersThe first to cover this missing link between data mining and process modeling, this book provides real-world techniques for monitoring and analyzing processes in real time. It is a powerful new tool destined to play a key role in business process management.Springeroai:cds.cern.ch:21583552016
spellingShingle Computing and Computers
van der Aalst, Wil
Process mining: data science in action
title Process mining: data science in action
title_full Process mining: data science in action
title_fullStr Process mining: data science in action
title_full_unstemmed Process mining: data science in action
title_short Process mining: data science in action
title_sort process mining: data science in action
topic Computing and Computers
url http://cds.cern.ch/record/2158355
work_keys_str_mv AT vanderaalstwil processminingdatascienceinaction