Nirdizati Light is an innovative Python package designed for Explainable Predictive Process Monitoring (XPPM). It addresses the need for a modular, flexible tool to compare predictive models, and generate explanations for the predictions made by the predictive models. By integrating consolidated frameworks libraries for process mining, machine learning, and explainable AI, it offers a comprehensive approach to predictive model construction and explanation generation. This paper discusses the tool’s key features, and its significance in the BPM community.

Nirdizati Light: A Modular Framework for Explainable Predictive Process Monitoring

Andrei Buliga;Riccardo Graziosi;Chiara Di Francescomarino;Chiara Ghidini;Fabrizio Maria Maggi;Williams Rizzi;Massimiliano Ronzani
2024-01-01

Abstract

Nirdizati Light is an innovative Python package designed for Explainable Predictive Process Monitoring (XPPM). It addresses the need for a modular, flexible tool to compare predictive models, and generate explanations for the predictions made by the predictive models. By integrating consolidated frameworks libraries for process mining, machine learning, and explainable AI, it offers a comprehensive approach to predictive model construction and explanation generation. This paper discusses the tool’s key features, and its significance in the BPM community.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11582/357369
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