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A Primer on Process MiningControl-Flow Perspective

A Primer on Process Mining: Control-Flow Perspective [This chapter explains how to derive a control-flow model for a business process, based on counting transitions between events. A simple control-flow algorithm is described together with its implementation in Python. The chapter also introduces Graphviz as a means to display the resulting model. Several improvements are described for better visualization of the resulting model.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Primer on Process MiningControl-Flow Perspective

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Publisher
Springer International Publishing
Copyright
© The Author(s) 2017
ISBN
978-3-319-56426-5
Pages
15 –29
DOI
10.1007/978-3-319-56427-2_2
Publisher site
See Chapter on Publisher Site

Abstract

[This chapter explains how to derive a control-flow model for a business process, based on counting transitions between events. A simple control-flow algorithm is described together with its implementation in Python. The chapter also introduces Graphviz as a means to display the resulting model. Several improvements are described for better visualization of the resulting model.]

Published: Jun 21, 2017

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