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2020 | OriginalPaper | Chapter

Process Minding: Closing the Big Data Gap

Authors : Avigdor Gal, Arik Senderovich

Published in: Business Process Management

Publisher: Springer International Publishing

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Abstract

The discipline of process mining was inaugurated in the BPM community. It flourished in a world of small(er) data, with roots in the communities of software engineering and databases and applications mainly in organizational and management settings. The introduction of big data, with its volume, velocity, variety, and veracity, and the big strides in data science research and practice pose new challenges to this research field. The paper positions process mining along modern data life cycle, highlighting the challenges and suggesting directions in which data science disciplines (e.g., machine learning) may interact with a renewed process mining agenda.

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next chapter Characterizing Machine Learning Processes: A Maturity Framework

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Title: Process Minding: Closing the Big Data Gap
Authors: Avigdor Gal
Arik Senderovich
Publisher: Springer International Publishing
Book: Business Process Management
Print ISBN: 978-3-030-58665-2

Electronic ISBN: 978-3-030-58666-9

Copyright Year: 2020
DOI: https://doi.org/10.1007/978-3-030-58666-9_1

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