Resumen:
Context-Aware Process Performance Indicator Prediction

Fecha

2021-09-22

Editor

Sistedes

Publicado en

Actas de las XVI Jornadas de Ingeniería de Ciencia e Ingeniería de Servicios (JCIS 2021)

Licencia

CC BY-NC-ND 4.0

Resumen

It is well-known that context impacts running instances of a process. Thus, defining and using contextual information may help to improve the predictive monitoring of business processes, which is one of the main challenges in process mining. However, identifying this contextual information is not an easy task because it might change depending on the target of the prediction. In this paper, we propose a novel methodology named CAP3 (Context-aware Process Performance indicator Prediction) which involves two phases. The first phase guides process analysts on identifying the context for the predictive monitoring of process performance indicators (PPIs), which are quantifiable metrics focused on measuring the progress of strategic objectives aimed to improve the process. The second phase involves a context-aware predictive monitoring technique that incorporates the relevant context information as input for the prediction. Our methodology leverages context-oriented domain knowledge and experts+IBk feedback to discover the contextual information useful to improve the quality of PPI prediction with a decrease of error rates in most cases, by adding this information as features to the datasets used as input of the predictive monitoring process. We experimentally evaluated our approach using two-real-life organizations. Process experts from both organizations applied CAP3 methodology and identified the contextual information to be used for prediction. The model learned using this information achieved lower error rates in most cases than the model learned without contextual information confirming the benefits of CAP3. This paper was published in IEEE Access, 2020, Vol. 8, pp. 222050 - 222063, doi: 10.1109/ACCESS.2020.3044670

Descripción

Acerca de Márquez-Chamorro, Alfonso E.

Palabras clave

Business Process Management, Context-awareness, Predictive Monitoring, Process Indicator Prediction, Process Mining
Página completa del ítem
Notificar un error en este resumen
Mostrar cita
Mostrar cita en BibTeX
Descargar cita en BibTeX