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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.
Autor principal: | |
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Lenguaje: | eng |
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Springer
2016
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Acceso en línea: | http://cds.cern.ch/record/2158355 |
_version_ | 1780950773346074624 |
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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 |
record_format | invenio |
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 |