Predictive Process Monitoring

Chiara Di Francescomarino · Ivan Donadello · Fabrizio Maria Maggi

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Business Process Modeling and Analysis Data Mining Algorithms and Applications Robotic Process Automation Applications

Abstract

Abstract Predictive Process Monitoring [29] is a branch of process mining that aims at predicting the future of an ongoing (uncompleted) process execution. Typical examples of predictions of the future of an execution trace relate to the outcome of a process execution, to its completion time, or to the sequence of its future activities

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2005The ProM Framework: A New Era in Process Mining Tool Support 2017Predictive Business Process Monitoring with LSTM Neural Networks 2010Time prediction based on process mining 2019Outcome-Oriented Predictive Process Monitoring 2014Predictive Monitoring of Business Processes 2017Predictive Monitoring of Business Processes: A Survey 2015A general process mining framework for correlating, predicting and clustering dynamic behavior based on event logs 2019Learning Accurate LSTM Models of Business Processes

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2024Predictive process monitoring: concepts, challenges, and future research directions 2024A review of AI and machine learning contribution in business process management (process enhancement and process improvement approaches)2022Foundations of Process Event Data 2023Runtime Integration of Machine Learning and Simulation for Business Processes 2023Modelling Data-Aware Stochastic Processes - Discovery and Conformance Checking

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