B. Agrawal and R. , Extending Database Technology: Advances in Database Technology, LNCS, vol.1377, pp.469-483, 1998.

S. Assar, B. Achour, and C. , Si-es processus d'analyse INFORSID, 2000.

A. W. Biermann and J. A. Feldman, On the Synthesis of Finite States Machines from Samples of, IEEE Trans. on Computers, vol.21, issue.6, pp.592-597, 1972.

F. Eibe and I. H. Witten, Data Mining: Practical Machine Learning Tools and Techniques, 3 rd Ed, 2005.

W. Enders, Applied econometric time series, 2004.

. Enright, An efficient algorithm for large-scale detection of protein families, Nucleic Acids Research, vol.30, issue.7, pp.1575-1584, 2002.
DOI : 10.1093/nar/30.7.1575

C. Goutte, Gaussier -score, with , 27 th European Conf, pp.345-359, 2005.

M. Jarke, C. Rolland, C. Sutcliffe, A. Domges, and R. , The NATURE of Requirements Engineering, 1999.
URL : https://hal.archives-ouvertes.fr/hal-00707563

T. Joachims, Text categorization with support vector machines, 1997.

B. H. Juang, RabinerTechnimetrics by American Stat, Assoc. and American Society for Quality, vol.33, issue.3, pp.251-272, 1991.

A. Rozinat and M. Veloso, Tawbi-scenario based approach to requirements engineering Inf. and Soft, van dEvaluating the 2 nd Intl. Workshop on the Induction of Process Models, pp.45-52, 1998.

W. M. Van-der-aalst, A. J. Weijters, and L. Maruster, Workflow mining: discovering process models from event logs, IEEE Transactions on Knowledge and Data Engineering, vol.16, issue.9, pp.1128-1142, 2004.
DOI : 10.1109/TKDE.2004.47

W. M. Van-der-aalst, PApplications and Theory of Petri Nets, LNCS, vol.3536, pp.48-69, 2005.

W. M. Van-der-aalst, Process Mining: Discovery, Conformance and Enhancement of Business Processes, 1 st Ed, pp.184-352, 2011.