W. M. Van-der-aalst, M. Pesic, and H. Schonenberg, Declarative workflows: Balancing between flexibility and support, Computer Science - Research and Development, vol.66, issue.3, pp.99-113, 2009.
DOI : 10.1007/s00450-009-0057-9

W. M. Van-der-aalst, Process Mining: Discovery, Conformance and Enhancement of Business Processes, 2011.

M. E. Bratman, Intention, Plans, and Practical Reason, 1999.

Z. Chen, F. Lin, H. Liu, Y. Liu, W. Ma et al., User Intention Modeling in Web Applications Using Data Mining, World Wide Web, vol.5, issue.3, pp.181-191, 2002.
DOI : 10.1023/A:1020980528899

S. Cleger-tamayo, J. M. Fernández-luna, J. F. Huete, N. Tintarev, P. Serdyukov et al., Being Confident about the Quality of the Predictions in Recommender Systems, ECIR 2013, pp.411-422, 2013.
DOI : 10.1007/978-3-642-36973-5_35

P. R. Cohen and H. Levesque, Intention is choice with commitment, Artificial Intelligence, vol.42, issue.2-3, pp.213-261, 1990.
DOI : 10.1016/0004-3702(90)90055-5

C. A. Ellis and K. Kim, Process Aware Information Systems: A Human Centered Perspective, APWeb 2007 and WAIM 2007, pp.39-49, 2007.
DOI : 10.1007/978-3-540-72524-4_8

E. V. Epure, C. Hug, R. Deneckere, and S. Brinkkemper, Intention-mining: A solution to process participant support in process aware information systems, Department of Information and Computing Sciences, 2013.

M. Fishbein and I. Ajzen, Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research, 1975.

A. R. Hevner, S. T. March, J. Park, and S. Ram, Design Science Research in Information Systems, MIS Quarterly, vol.28, issue.1, pp.75-105, 2004.
DOI : 10.1007/978-1-4419-5653-8_2

G. Khodabandelou, C. Hug, R. Deneckère, and C. Salinesi, Supervised intentional process models discovery using Hidden Markov models, IEEE 7th International Conference on Research Challenges in Information Science (RCIS), pp.1-11, 2013.
DOI : 10.1109/RCIS.2013.6577711
URL : https://hal.archives-ouvertes.fr/hal-00803875

G. A. Klein, J. Orasanu, R. Calderwood, and C. E. Zsambok, Decision making in action: Models and methods, 1993.

P. Kueng and P. Kawalek, Goal???based business process models: creation and evaluation, Business Process Management Journal, vol.3, issue.1, pp.17-38, 1997.
DOI : 10.1108/14637159710161567

N. Lacey, H. Hexmoor, and G. Beavers, Planning at the intention level, pp.8-12, 2002.

A. Van-lamsweerde and E. Letier, From Object Orientation to Goal Orientation: A Paradigm Shift for Requirements Engineering, RISSEF 2004, pp.325-340, 2004.
DOI : 10.1007/978-3-540-24626-8_23

J. Lee, H. Kim, W. Seo, K. Kim, and C. H. Kim, Condition-based process patterns for modeling of human processes in Knowledge-intensive Business Services, Expert Systems with Applications, vol.38, issue.4, pp.4025-4038, 2011.
DOI : 10.1016/j.eswa.2010.09.065

D. J. Mackay, Information Theory, Inference and Learning Algorithms, 2003.

A. K. Medeiros, . Alves, C. Pedrinaci, W. M. Van-der-aalst, J. Domingue et al., An Outlook on Semantic Business Process Mining and Monitoring, OTM 2007 Workshops, pp.1244-1255, 2007.
DOI : 10.1007/978-3-540-76890-6_52

K. Murphy, Dynamic Bayesian Networks: Representation, Inference and Learning, Computer Science Division, 2002.

R. Petrusel and P. L. Stanciu, Making Recommendations for Decision Processes Based on Aggregated Decision Data Models, BIS 2012. LNBIP, pp.272-283, 2012.
DOI : 10.1007/978-3-642-30359-3_24

M. Reichert and B. Weber, Enabling Flexibility in Process-Aware Information Systems -Challenges , Methods, Technologies, 2012.

L. Rokach, A survey of Clustering Algorithms. Data Mining and Knowledge Discovery Handbook, pp.269-298, 2010.

C. Rolland, N. Prakash, and A. Benjamen, 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

H. Schonenberg, B. Weber, B. Dongen, and W. M. Van-der-aalst, Supporting Flexible Processes through Recommendations Based on History, BPM 2008, pp.51-66, 2008.
DOI : 10.1007/978-3-540-85758-7_7

I. Song and J. Diederich, Intention extraction from text messages Neural information processing: theory and algorithms, LNCS, vol.1, pp.330-337, 2010.

K. M. Wiig, Knowledge Management: An Introduction and Perspective, Journal of Knowledge Management, vol.1, issue.1, pp.6-14, 1997.
DOI : 10.1108/13673279710800682

L. Xu and S. Brinkkemper, Concepts of product software, European Journal of Information Systems, vol.48, issue.5, pp.531-541, 2007.
DOI : 10.1007/3-540-63014-7_4

R. K. Yin, Case Study Research: Design and Methods, 2009.

E. S. Yu, Towards modelling and reasoning support for early-phase requirements engineering, Proceedings of ISRE '97: 3rd IEEE International Symposium on Requirements Engineering, pp.226-235, 1997.
DOI : 10.1109/ISRE.1997.566873