Smyrida: A web application for process mining and interactive visualization

Merkoureas, Ilias; Kaouni, Antonia; Theodoropoulou, Georgia; Bousdekis, Alexandros; Voulodimos, Athanasios; Miaoulis, Georgios

doi:10.1016/j.softx.2023.101327

Cited by 1 publication

(2 citation statements)

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“…Our future work will move in the following directions. First, we will embed the hereby proposed approach for predictive business process monitoring into the “Smyrida” system that we have developed [ 12 ]. “Smyrida” is a modular software system in the form of a web application with open APIs, making it adaptive to new techniques for process mining.…”

Section: Discussionmentioning

confidence: 99%

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Modelling and Predictive Monitoring of Business Processes under Uncertainty with Reinforcement Learning

Bousdekis

Kerasiotis

Kotsias

et al. 2023

Sensors

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The analysis of business processes based on their observed behavior recorded in event logs can be performed with process mining. This method can discover, monitor, and improve processes in various application domains. However, the process models produced by typical process discovery methods are difficult for humans to understand due to their high complexity (the so-called “spaghetti-like” process models). Moreover, these methods cannot handle uncertainty or perform predictions because of their deterministic nature. Recently, researchers have been developing predictive approaches for running business cases of processes. This paper focuses on developing a predictive business process monitoring approach using reinforcement learning (RL), which has been successful in other contexts but not yet explored in this area. The proposed approach is evaluated in the banking sector through a use case.

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Section: Discussionmentioning

confidence: 99%

“…Despite their proven benefits, process discovery methods usually create complex process models (the so-called “spaghetti-like” models) that are not easily understood by humans [ 12 ]. Moreover, due to their deterministic nature, they are not capable of handling uncertainty or performing predictions [ 6 ].…”

Section: Background and Related Workmentioning

confidence: 99%