V. Godreau, Extraction des connaissances à partir des données de la surveillance de l'usinage, 2017.

Y. Zhou and W. Xue, Review of tool condition monitoring methods in milling processes, The International Journal of Advanced Manufacturing Technology, pp.1-15, 2018.

O. Emeric, D. Alexandre, D. Le-julien, and D. Christophe, Un Système à Base de Connaissances pour la gestion de données d'usinage dans une perspective de fouille de données, MUGV2018 et Manufacturing'21 Conf, 2018.

J. Lenz, T. Wuest, and E. Westkämper, Holistic approach to machine tool data analytics, Journal of Manufacturing Systems, 2018.

C. Da-cunha, B. Agard, and A. Kusiak, Data mining for improvement of product quality, International journal of production research, vol.44, pp.4027-4041, 2006.
URL : https://hal.archives-ouvertes.fr/hal-00229870

G. Martínez-arellano, G. Terrazas, P. Benardos, and S. Ratchev, In-process Tool Wear Prediction System Based on Machine Learning Techniques and Force Analysis, 8th CIRP Conference on High Performance Cutting (HPC 2018), 2018.

B. Denkena, M. A. Dittrich, and F. Uhlich, Self-optimizing cutting process using learning process models, Procedia Technology, vol.26, pp.221-226, 2016.

J. Julien, Fouille de données / Data mining Université Lumière Lyon 2, p.12, 2001.

D. Reynolds, Gaussian mixture models. Encyclopedia of biometrics, pp.827-832, 2015.

C. De-castelbajac, M. Ritou, S. Laporte, and B. Furet, Monitoring of distributed defects on HSM spindle bearings, Applied Acoustics, vol.77, pp.159-168, 2014.
URL : https://hal.archives-ouvertes.fr/hal-00852246

V. Godreau, M. Ritou, E. Chové, B. Furet, and D. Dumur, Continuous improvement of HSM process by data mining, Journal of Intelligent Manufacturing, pp.1-8, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01819020

P. Lemberger, M. Batty, M. Morel, and J. L. Raffaëlli, Big Data et Machine Learning-Manuel du data scientist-2e éd, 2016.