W. M. Aalst and . Van-der, Process Mining: Data Science in Action, 2016.

R. Agrawal, D. Gunopulos, and F. Leymann, Mining process models from workflow logs, Advances in Database TechnologyEDBT'98, Lecture Notes in Computer Science. Presented at the International Conference on Extending Database Technology, pp.467-483, 1998.

C. Alvarez, E. Rojas, M. Arias, J. Munoz-gama, M. Sepúlveda et al., Discovering role interaction models in the Emergency Room using Process Mining, J. Biomed. Inform, vol.78, pp.60-77, 2018.

J. E. Cook and A. L. Wolf, Discovering Models of Software Processes from Event-based Data, ACM Trans Softw Eng Methodol, vol.7, pp.215-249, 1998.

P. Cotera, M. Velazquez, D. Cruz, L. Medina, and M. Bandala, Indoor Robot Positioning Using an Enhanced Trilateration Algorithm, Int. J. Adv. Robot. Syst, vol.13, 2016.

C. Fernández-llatas, J. Benedi, J. M. García-gómez, and V. Traver, Process Mining for Individualized Behavior Modeling Using Wireless Tracking in Nursing Homes, Sensors, vol.13, pp.15434-15451, 2013.

C. Fernandez-llatas, A. Lizondo, E. Monton, J. Benedi, and V. Traver, Process Mining Methodology for Health Process Tracking Using Real-Time Indoor Location Systems, Sensors, vol.15, pp.29821-29840, 2015.

, Fundamentals of Business Process Management | Marlon Dumas | Springer, n.d

M. N. Kamel-boulos and G. Berry, Real-time locating systems (RTLS) in healthcare: a condensed primer, Int. J. Health Geogr, vol.11, 2012.

M. Kanehisa, S. Goto, Y. Sato, M. Kawashima, M. Furumichi et al., Data, information, knowledge and principle: back to metabolism in KEGG, Nucleic Acids Res, vol.42, pp.199-205, 2014.

R. Miclo, F. Fontanili, G. Marquès, P. Bomert, and M. Lauras, RTLSbased Process Mining: Towards an automatic process diagnosis in healthcare, 2015 IEEE International Conference on Automation Science and Engineering (CASE). Presented at the 2015 IEEE International Conference on Automation Science and Engineering (CASE), pp.1397-1402, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01609202

D. C. Montgomery, Introduction to statistical quality control, 2007.

S. Namaki-araghi, F. Fontanili, E. Lamine, and F. Benaben, An automatized data extraction approach for process mining and business process analysis, p.5, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01924018

E. Rojas, J. Munoz-gama, M. Sepúlveda, and D. Capurro, Process mining in healthcare: A literature review, J. Biomed. Inform, vol.61, pp.224-236, 2016.

T. Rotter, L. Kinsman, E. James, A. Machotta, J. Willis et al., The effects of clinical pathways on professional practice, patient outcomes, length of stay, and hospital costs: Cochrane systematic review and meta-analysis, Eval. Health Prof, vol.35, pp.3-27, 2012.

J. Thor, J. Lundberg, J. Ask, J. Olsson, C. Carli et al., Application of statistical process control in healthcare improvement: systematic review, Qual. Saf. Health Care, vol.16, pp.387-399, 2007.

T. Van-haute, E. De-poorter, P. Crombez, F. Lemic, V. Handziski et al., Performance analysis of multiple Indoor Positioning Systems in a healthcare environment, Int. J. Health Geogr, vol.15, 2016.

K. Vanhaecht, W. Sermeus, J. Peers, C. Lodewijckx, S. Deneckere et al., The impact of care pathways for exacerbation of Chronic Obstructive Pulmonary Disease: rationale and design of a cluster randomized controlled trial, Trials, vol.11, 2010.

A. J. Weijters, W. M. Aalst, and . Van-der, Process Mining Discovering Workflow Models from Event-Based Data, Proceedings of the ECAI Workshop on Knowledge Discovery and Spatial Data, pp.283-290, 2001.

W. Yang and Q. Su, Process mining for clinical pathway: Literature review and future directions, 11th International Conference on Service Systems and Service Management (ICSSSM). Presented at the 2014 11th International Conference on Service Systems and Service Management (ICSSSM), pp.1-5, 2014.