Ponencia
Updating Prediction Models for Predictive Process Monitoring
Autor/es | Márquez Chamorro, Alfonso Eduardo
Nepomuceno Chamorro, Isabel de los Ángeles Resinas Arias de Reyna, Manuel Ruiz Cortés, Antonio |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 2022 |
Fecha de depósito | 2022-07-22 |
Publicado en |
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ISBN/ISSN | 978-3-031-07471-4 0302-9743 |
Resumen | Predictive monitoring is a key activity in some Process Aware Information Systems (PAIS) such as information systems for
operational management support. Unforeseen circumstances like COVID
can introduce changes in human ... Predictive monitoring is a key activity in some Process Aware Information Systems (PAIS) such as information systems for operational management support. Unforeseen circumstances like COVID can introduce changes in human behaviour, processes, or computing resources, which lead the owner of the process or information system to consider whether the quality of the predictions made by the system (e.g., mean time to solution) is still good enough, and if not, which amount of data and how often the system should be trained to maintain the qual ity of the predictions. To answer these questions, we propose, compare, and evaluate different strategies for selecting the amount of information required to update the predictive model in a context of offline learning. We performed an empirical evaluation using three real-world datasets that span between 2 and 13 years to validate the different strategies which show a significant enhancement in the prediction accuracy with respect to a non-update strategy |
Agencias financiadoras | Agencia Estatal de Investigación. España Junta de Andalucía |
Identificador del proyecto | RTI2018-101204-B-C21 (HORATIO)
RTI2018-101204-B-C22 (OPHELIA) EKIPMENT-PLUS (P18-FR-2895) US-1381595 |
Cita | Márquez Chamorro, A.E., Nepomuceno Chamorro, I.d.l.Á., Resinas Arias de Reyna, M. y Ruiz Cortés, A. (2022). Updating Prediction Models for Predictive Process Monitoring. En CAiSE 2021 : 34th International Conference on Advanced Information Systems Engineering (304-318), Leuven, Belgium: Springer. |
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