Conformance Checking-based Concept Drift Detection in Process Mining
Por favor, use este identificador para citas ou ligazóns a este ítem:
http://hdl.handle.net/10347/30944
Ficheiros no ítem
Metadatos do ítem
Título: | Conformance Checking-based Concept Drift Detection in Process Mining |
Autor/a: | Gallego Fontenla, Víctor José |
Dirección/Titoría: | Lama Penín, Manuel Vidal Aguiar, Juan Carlos |
Centro/Departamento: | Universidade de Santiago de Compostela. Escola de Doutoramento Internacional (EDIUS) Universidade de Santiago de Compostela. Programa de Doutoramento en Investigación en Tecnoloxías da Información |
Palabras chave: | mineria de procesos | cambio | concept drift | conformance checking | procesos de negocio | |
Data: | 2023 |
Resumo: | One of the main challenges of process mining is to obtain models that represent a process as simply and accurately as possible. Both characteristics can be greatly influenced by changes in the control flow of the process throughout its life cycle. In this thesis we propose the use of conformance metrics to monitor such changes in a way that allows the division of the log into sub-logs representing different versions of the process over time. The validity of the hypothesis has been formally demonstrated, showing that all kinds of changes in the process flow can be captured using these approaches, including sudden, gradual drifts on both clean and noisy environments, where differentiating between anomalous executions and real changes can be tricky. |
URI: | http://hdl.handle.net/10347/30944 |
Dereitos: | Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
Coleccións
O ítem ten asociados os seguintes ficheiros de licenza: