A Multi-Model View of Process Modelling, Requirements Engineering, vol.4, issue.4, pp.169-187, 1999. ,
DOI : 10.1007/s007660050018
URL : https://hal.archives-ouvertes.fr/hal-00707568
Process Mining: Discovery, Conformance and Enhancement of Business Processes, pp.184-352, 2011. ,
Map-TBS: Map process enactment traces and analysis, 2012 Sixth International Conference on Research Challenges in Information Science (RCIS), pp.204-209, 2012. ,
DOI : 10.1109/RCIS.2012.6240435
URL : https://hal.archives-ouvertes.fr/hal-00701230
Multi-phase Process Mining: Building Instance Graphs, International Conference on Conceptual Modeling, pp.362-376, 2004. ,
DOI : 10.1007/978-3-540-30464-7_29
Genetic Process Mining Applications and Theory of Petri Nets, LNCS, vol.3536, pp.48-69, 2005. ,
A robust F-measure for evaluating discovered process models, 2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM), pp.148-155, 2011. ,
DOI : 10.1109/CIDM.2011.5949428
Discovering expressive process models by clustering log traces, IEEE Transactions on Knowledge and Data Engineering, vol.18, issue.8, pp.1010-1027, 2006. ,
DOI : 10.1109/TKDE.2006.123
Statistical Inference for Probabilistic Functions of Finite State Markov Chains, The Annals of Mathematical Statistics, vol.37, issue.6, pp.1554-1563, 1966. ,
DOI : 10.1214/aoms/1177699147
Mining Hierarchies of Models: From Abstract Views to Concrete Specifications, Proceedings of the 3rd International Conference on Business Process Management, BPM 2005, pp.32-47, 2005. ,
DOI : 10.1007/11538394_3
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
Applied econometric time series, 2004. ,
Evaluating the quality of discovered process models, 2nd Intl. Workshop on the Induction of Process Models, pp.45-52, 2008. ,
Rediscovering Workflow Models from Event Based Data using Little Thumb, Integrated Computer-Aided Engineering, vol.10, issue.2, pp.151-162, 2003. ,
Integrating Machine Learning and Workflow Management to Support Acquisition and Adaptation of Workflow Models, Proceedings of the 9 th International Workshop on Database and Expert Systems Applications, pp.745-752, 1998. ,
Mining process models from workflow logs, Proceedings of the 6 th International Conference on Extending Database Technology: Advances in Database Technology, pp.469-483, 1998. ,
DOI : 10.1007/BFb0101003
Discovering models of software processes from event-based data, ACM Transactions on Software Engineering and Methodology, vol.7, issue.3, pp.215-249, 1998. ,
DOI : 10.1145/287000.287001
Trace Clustering in Process Mining Business Process Management Workshops, Lecture Notes in Business Inf. Processing, vol.17, pp.109-120, 2009. ,
Data Mining: Practical Machine Learning Tools and Techniques, 2005. ,
Approaching Process Mining with Sequence Clustering: Experiments and Findings, BPM 2007, pp.360-374, 2007. ,
DOI : 10.1007/978-3-540-75183-0_26
Biological sequence analysis Probabilistic models of proteins and nucleicacids, 1998. ,
A tutorial on hidden Markov models and selected applications in speech recognition, Proceedings of the IEEE, vol.77, issue.2, pp.257-286, 1989. ,
DOI : 10.1109/5.18626
Un Modèle pour la spécification des processus d'analyse des Systèmes d'Information, proceedings of 18ème Congrès INFORSID, pp.287-301, 2000. ,
The viterbi algorithm, Proceedings of the IEEE, vol.61, issue.3, pp.268-278, 1973. ,
DOI : 10.1109/PROC.1973.9030
A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains, The Annals of Mathematical Statistics, vol.41, issue.1, pp.164-171, 1970. ,
DOI : 10.1214/aoms/1177697196
Hidden Markov Models for Speech Recognition, Technimetrics by American Statistical Association and American Society for Quality, pp.251-272, 1991. ,
DOI : 10.1007/978-3-642-66286-7
On the Synthesis of Finite-State Machines from Samples of Their Behavior, IEEE Transactions on Computers, vol.21, issue.6, pp.592-597, 1972. ,
DOI : 10.1109/TC.1972.5009015
Automating process discovery through event-data analysis, Proceedings of the 17th international conference on Software engineering , ICSE '95, pp.73-82, 1995. ,
DOI : 10.1145/225014.225021
Text categorization with support vector machines, LS VIII Number, vol.23, 1997. ,
A Probabilistic Interpretation of Precision, Recall and F-Score, with Implication for Evaluation, Proceedings of the 27 th European Conference on Information Retrieval, pp.345-359 ,
DOI : 10.1007/978-3-540-31865-1_25
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
A unified Gradient Descent/Clustering Architecture for Finite State Machine Induction, proceeding of the 1993 Conference in Advances in Neural Information Processing system, pp.19-26, 1994. ,
The NATURE of Requirements Engineering, 1999. ,
URL : https://hal.archives-ouvertes.fr/hal-00707563
Aligning IS to Organization???s Strategy: The InStAl Method, Proceedings of CAiSE, pp.203-217, 2007. ,
DOI : 10.1007/978-3-540-72988-4_15
URL : https://hal.archives-ouvertes.fr/hal-00706188
MENTOR: a Step Forward in Guidance for Information System Development, Proceedings of the fifth Workshop on the Next Generation of CASE Tools, 1994. ,
URL : https://hal.archives-ouvertes.fr/hal-00708042
L'ECRITOIRE a tool to support a goal-scenario based approach to requirements engineering Information and Software Technology journal COTS Products to trace method enactment: review and selection, 21 st European Conference on Information Systems, 1998. ,
Process Mining Versus Intention Mining, International Conference on Exploring Modelling Methods for Systems Analysis and Design (EMMSAD), 2013. ,
DOI : 10.1007/978-3-642-38484-4_33
URL : https://hal.archives-ouvertes.fr/hal-00803968