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arXiv · 1804.02422

Predictive Process Monitoring Methods: Which One Suits Me Best?

Chiara Di Francescomarino·Chiara Ghidini·Fabrizio Maria Maggi·Fredrik Milani
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Abstract

Predictive process monitoring has recently gained traction in academia and is maturing also in companies. However, with the growing body of research, it might be daunting for companies to navigate in this domain in order to find, provided certain data, what can be predicted and what methods to use. The main objective of this paper is developing a value-driven framework for classifying existing work on predictive process monitoring. This objective is achieved by systematically identifying, categorizing, and analyzing existing approaches for predictive process monitoring. The review is then used to develop a value-driven framework that can support organizations to navigate in the predictive process monitoring field and help them to find value and exploit the opportunities enabled by these analysis techniques.

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Chiara Di Francescomarino, Chiara Ghidini, Fabrizio Maria Maggi, Fredrik Milani. 2018-04-06. Predictive Process Monitoring Methods: Which One Suits Me Best?. https://doi.org/10.1007/978-3-319-98648-7_27

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