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Enabling Self-adaptive Workflows for Cyber-physical Systems Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Connecting Databases with Process Mining: A Meta Model and Toolset

Authors : E. González López de Murillas, Hajo A. Reijers, Wil M. P. van der Aalst

Published in: Enterprise, Business-Process and Information Systems Modeling

Publisher: Springer International Publishing

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Abstract

Process Mining techniques require event logs which, in many cases, are obtained from databases. Obtaining these event logs is not a trivial task and requires substantial domain knowledge. In addition, the result is a single view on the database in the form of a specific event log. If we desire to change our view, e.g. to focus on another business process, and generate another event log, it is necessary to go back to the source of data. This paper proposes a meta model to integrate both process and data perspectives, relating one to the other and allowing to generate different views from it at any moment in a highly flexible way. This approach decouples the data extraction from the application of analysis techniques, enabling its use in different contexts.

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previous chapter Hybrid Diagnosis Applied to Multiple Instances in Business Processes
next chapter Towards a Formal Framework for Business Process Re-Design Based on Data Mining
Footnotes
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Metadata
Title
Connecting Databases with Process Mining: A Meta Model and Toolset
Authors
E. González López de Murillas
Hajo A. Reijers
Wil M. P. van der Aalst
Copyright Year
2016
Book
Enterprise, Business-Process and Information Systems Modeling

Print ISBN: 978-3-319-39428-2

Electronic ISBN: 978-3-319-39429-9

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-39429-9_15

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