G. Adomavicius and A. Tuzhilin, Expert-Driven Validation of Rule-Based User Models in Personalization Application, Data Mining and Knowledge Discovery, vol.5, pp.33-58, 2001.
DOI : 10.1007/978-1-4615-1627-9_3

A. Ben-david and L. Sterling, Generating rules from examples of human multiattribute decision making should be simple, Expert Systems with Applications, vol.31, issue.2, pp.390-396, 2006.
DOI : 10.1016/j.eswa.2005.09.066

A. Bernstein and F. Provost, An intelligent assistant for the knowledge discovery process, Proc. of the IJCAI-01 Workshop on Wrappers for Performance Enhancement in KDD, 2002.

L. Breiman, Bagging predictors, Machine Learning, vol.10, issue.2, pp.123-140, 1996.
DOI : 10.1007/BF00058655

L. Breiman, Arcing classifiers, The Annals of Statistics, vol.26, pp.801-824, 1998.

L. Breiman, J. Friedman, R. Olshen, and C. Stone, Classification and regression trees, 1984.

D. Caragea, J. Zhang, J. Bao, J. Pathak, and V. Honavar, Algorithms and software for collaborative discovery from autonomous, semantically heterogeneous , distributed information sources, ALT, pp.13-44, 2005.

D. Charalampopoulos, R. Wang, S. S. Pandiella, and C. Webb, Application of cereals and cereal components in functional foods: a review, International Journal of Food Microbiology, vol.79, issue.1-2, pp.131-141, 2002.
DOI : 10.1016/S0168-1605(02)00187-3

G. Dalbon, D. Grivon, and M. Pagnani, Continuous manufacturing process, Pasta and noodle technology. AACC, St Paul (MN-USA), 1996.

E. Davesne, P. Casanova, E. Chojnacki, F. Paquet, and E. Blanchardon, Optimisation of internal contamination monitoring programme by integration of uncertainties, Radiation Protection Dosimetry, vol.144, issue.1-4, pp.361-366, 2011.
DOI : 10.1093/rpd/ncq315

B. R. Gaines and M. L. Shaw, Eliciting knowledge and transferring it effectively to a knowledge-based system, IEEE Transactions on Knowledge and Data Engineering, vol.5, issue.1, pp.4-14, 1993.
DOI : 10.1109/69.204087

N. Guarino, D. Oberle, and S. Staab, Handbook on Ontologies. Springer. chapter What is an Ontology?, 2009.

S. Guillaume and B. Charnomordic, Learning interpretable fuzzy inference systems with FisPro, Information Sciences, vol.181, issue.20, 2011.
DOI : 10.1016/j.ins.2011.03.025
URL : https://hal.archives-ouvertes.fr/hal-01318369

J. A. Hartigan and M. A. Wong, Algorithm AS 136: A K-Means Clustering Algorithm, Applied Statistics, vol.28, issue.1, pp.100-108, 1979.
DOI : 10.2307/2346830

T. Ling, B. H. Kang, D. P. Johns, J. Walls, and I. Bindoff, Expert-Driven Knowledge Discovery, Fifth International Conference on Information Technology: New Generations (itng 2008), pp.174-178, 2008.
DOI : 10.1109/ITNG.2008.194
URL : http://ecite.utas.edu.au/54042/1/Kang%20UID54042.pdf

N. Maillot and M. Thonnat, Ontology based complex object recognition, Image and Vision Computing, vol.26, issue.1, pp.102-113, 2008.
DOI : 10.1016/j.imavis.2005.07.027
URL : https://hal.archives-ouvertes.fr/inria-00502361

G. Mansingh, K. M. Osei-bryson, and H. Reichgelt, Using ontologies to facilitate post-processing of association rules by domain experts, Information Sciences, vol.181, issue.3, pp.419-434, 2011.
DOI : 10.1016/j.ins.2010.09.027

G. A. Miller, The magical number seven, plus or minus two: some limits on our capacity for processing information., Psychological Review, vol.63, issue.2, pp.81-97, 1956.
DOI : 10.1037/h0043158

N. Mueangdee, F. Mabille, R. Thomopoulos, and J. Abecassis, Virtual grain: a data warehouse for mesh grid representation of cereal grain properties, Proceedings of the 9th European Conference on Food Industry and Statistics, pp.291-299, 2006.
URL : https://hal.archives-ouvertes.fr/lirmm-00113015

M. Musen, Dimensions of knowledge sharing and reuse, Computers and Biomedical Research, vol.25, issue.5, pp.435-467, 1992.
DOI : 10.1016/0010-4809(92)90003-S

N. Noy and D. Mcguinness, Ontology Development 101: AGuide to Creating Your First Ontology Disponible en http, 2005.

K. M. Osei-bryson, Evaluation of decision trees: a multi-criteria approach, Computers & Operations Research, vol.31, issue.11, pp.1933-1945, 2004.
DOI : 10.1016/S0305-0548(03)00156-4

V. Parekh and J. P. Gwo, Mining Domain Specific Texts and Glossaries to Evaluate and Enrich Domain Ontologies, International Conference of Information and Knowledge Engineering, 2004.

M. Popescu and D. Xu, Data Mining in Biomedicine Using Ontologies, 2009.

J. Quinlan, Induction of decision trees, Machine Learning, vol.1, issue.1, pp.81-106, 1986.
DOI : 10.1007/BF00116251

J. Quinlan, C4. 5: programs for machine learning, 1993.

R. Development and C. Team, R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, 2009.

R. Seising, Soft Computing and the Life Sciences - Philosophical Remarks, 2007 IEEE International Fuzzy Systems Conference, pp.798-803, 2007.
DOI : 10.1109/FUZZY.2007.4295468

G. Shafer, A mathematical Theory of Evidence, 1976.

D. Solomatine and A. Ostfeld, Data-driven modelling: some past experiences and new approaches, Journal of Hydroinformatics, vol.10, issue.1, pp.3-22, 2008.
DOI : 10.2166/hydro.2008.015

R. L. Sousa and H. H. Einstein, Risk analysis during tunnel construction using bayesian networks: Porto metro case study. Tunnelling and Underground Space Technology 27, pp.86-100, 2012.

C. Strobl, Statistical Issues in Machine Learning -Towards Reliable Split Selection and Variable Importance Measures, 2008.

G. Stumme, A. Hotho, and B. Berendt, Semantic Web MiningState of the art and future directions, Web Semantics: Science, Services and Agents on the World Wide Web, vol.4, issue.2, pp.124-143, 2006.
DOI : 10.1016/j.websem.2006.02.001

R. Thomopoulos, J. Baget, and O. Haemmerle, Conceptual Graphs as Cooperative Formalism to Build and Validate a Domain Expertise, Lecture Notes in Computer Science, vol.4604, issue.112, 2007.
DOI : 10.1007/978-3-540-73681-3_9
URL : https://hal.archives-ouvertes.fr/lirmm-00195272

M. Vialette, A. Pinon, B. Leporq, C. Dervin, and J. M. Membré, Meta-Analysis of Food Safety Information Based on a Combination of a Relational Database and a Predictive Modeling Tool, Risk Analysis, vol.67, issue.1, pp.75-83, 2005.
DOI : 10.1016/S0168-1605(01)00670-5

N. Villanueva-rosales and M. Dumontier, Modeling life science knowledge with owl 1, Proceedings of OWL'08, 2008.

L. Young, Application of Baking Knowledge in Software Systems, pp.207-222, 2007.
DOI : 10.1007/0-387-38565-7_7

J. Zhang, D. K. Kang, A. Silvescu, and V. Honavar, Learning accurate and concise na??ve Bayes classifiers from attribute value taxonomies and data, Knowledge and Information Systems, vol.detection, issue.2, pp.157-179, 2006.
DOI : 10.1007/s10115-005-0211-z

J. Zhang, A. Silvescu, and V. Honavar, Ontology-Driven Induction of Decision Trees at Multiple Levels of Abstraction, Lecture Notes in Computer Science, pp.316-323, 2002.
DOI : 10.1007/3-540-45622-8_25