A study of the application of computational intelligence and machine learning techniques in business process mining

Ana Rocio Cardenas Maita (1)

1 USP - Universidade de São Paulo = University of São Paulo

Process mining is a emerging research area that combines data mining and machine learning, on one hand, and business process modeling and analysis, on the other hand. This work aims to assess the application of computational intelligence and machine learning techniques in process mining context. The main focus of the study was to identify why the computational intelligence and machine learning techniques are not being widely used in process mining field and identify the main reasons for this phenomenon. The stage of experiments in this study was carried out based on an unstructured process related to a distance learning supported by a Learning Management System (LMS). ABSTRACT BACKGROUND

Domaines: Intelligence artificielle [cs.AI]; Génie logiciel [cs.SE]

Ana Rocio Cardenas Maita. A study of the application of computational intelligence and machine learning techniques in business process mining. LatinX in AI Research at ICML 2019, Jun 2019, Los Ángeles, United States. ⟨hal-02265951⟩