J. Mateyaschuk, The 1999 National IT Salary Survey: Pay up, Information Week, 1999.

U. Fayyad, G. Piatetsky-shapiro, P. Smyth, and R. Uthurusamy, Advances in Knowledge Discovery and Data Mining, 1996.

K. Parsaye, M. Chignell, S. Khoshaan, and H. Wong, ntelligent Databases ; Object-Oriented, Deductive Hypermedia Technologies, 1989.

U. M. Fayyad, G. Piatetsky-shapiro, and P. Smyth, From data mining to knowledge discovery : an overview Advances in knowledge discovery and data mining, 1996.

G. Mariscal, O. Marban, and C. Fernandez, A survey of data mining and knowledge discovery process models and methodologies, The Knowledge Engineering Review, vol.2061, issue.02, 2010.
DOI : 10.1007/1-84628-183-0_1

K. Lukasz, A. Musilek, and P. , A survey of Knowledge Discovery and Data Mining process model, The Knowledge Engineering Review, vol.21, issue.1, 2006.

P. Chapman, J. Clinton, R. Kerber, T. Khabaza, T. Reinartz et al., CRISP-DM 1.0. Step-by-step data mining guide, DaimlerChrysler AG (Germany), SPSS Inc. (USA), 2001.

P. Simon, Tech Transformation: What's Holding You Back?, Business Finance, 2011.

Q. Yang and X. Wu, 10 CHALLENGING PROBLEMS IN DATA MINING RESEARCH, International Journal of Information Technology & Decision Making, vol.05, issue.04, 2006.
DOI : 10.1142/S0219622006002258

K. J. Cios, W. Pedrycz, R. W. Swiniarski, and L. Kurgan, A : Data Mining: A Knowledge Discovery Approach, 2007.

U. M. Fayyad, G. Piatetsky-shapiro, and P. Smyth, From data mining to knowledge discovery: an overview, Book: Advances in knowledge discovery and data mining, American Association for Artificial Intelligence, 1996.

. Wikipedia, Exploration de données http://fr.wikipedia.org/wiki/Exploration_de_donn%C3%A9es consulted on: 06/08, 2011.

O. Maimon and L. Rokach, The Data Mining and Knowledge Discovery Handbook, 2005.

S. S. Anand, A. R. Patrick, J. G. Hughes, and D. A. Bell, A Data Mining Methodology for Cross Sales, Knowledge-Based Systems, 1998.

L. Kurgan, K. Cios, R. Tadeusiewicz, M. Ogiela, and L. Goodenday, Knowledge discovery approach to automated cardiac SPECT diagnosis, Artificial Intelligence in Medicine, vol.23, issue.2, 2001.
DOI : 10.1016/S0933-3657(01)00082-3

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.17.3773

O. Marban, G. Mariscal, and C. Fernandez, A survey of data mining and knowledge discovery process models and methodologies, The Knowledge Engineering Review, 2010.

L. A. Kurgan and P. Musilek, A survey of Knowledge Discovery and Data Mining process model, The Knowledge Engineering Review, 2006.

G. Piatetsky-shapiro, Data mining and knowledge discovery: The third generation, Foundation of Intelligent Systems in the 10th International Symposium, 1997.
DOI : 10.1007/3-540-63614-5_4

R. Rakotomalala, TANAGRA : un logiciel gratuit pour l'enseignement et la recherche, Actes de EGC'2005, RNTI-E-3, pp.697-702, 2005.

R. Rokotomalala, K-Means -Comparaison de logiciels, http ://tutoriels-data-mining.blogspot.com/search/label/Classification- Clustering, 2008.

M. Hidalgo, E. Menasalvas, and S. Eibe, Definition of a Metadata Schema for Describing Data Preparation Tasks, ECML Workshop on third generation data mining: Towards service-oriented knowledge discovery, 2009.

J. U. Kietz, F. Serban, A. Bernstein, and S. Fischer, Towards cooperative planning of data mining workflows, ECML Workshop on third generation data mining: Towards service-oriented knowledge discovery, 2009.

J. Vanschoren and H. Blockeel, Stand on the Shoulders of Giants: Towards a Portal for Collaborative Experimentation in Data Mining, ECML Workshop on third generation data mining: Towards serviceoriented knowledge discovery, 2009.

C. Diamantini, D. Potena, and E. Stort, KDDONTO: An Ontology for Discovery and Composition of KDD Algorithms, ECML Workshop on third generation data mining: Towards service-oriented knowledge discovery, 2009.

V. Podpecan, N. Lavrac, J. N. Kok, and J. De-bruin, Preface, ECML Workshop on third generation data mining: Towards service-oriented knowledge discovery, 2009.

M. Zakova, V. Podpecan, F. Zelezny, and N. Lavrac, Advancing Data Mining Workflow Construction: A Framework and Cases using the Orange Toolkit, ECML Workshop on third generation data mining: Towards service oriented knowledge discovery, 2009.

J. Vanschoren, H. Blockeel, B. Pfahringer, and G. Holmes, Organizing the World???s Machine Learning Information, Communications in Computer and Information Science, vol.32, issue.14, pp.693-708, 2008.
DOI : 10.1038/ng1028

P. A. Grigoriev and S. A. Yevtushenko, Elements of an Agile Discovery Envoronment, 2003.

J. Kietz, F. Serban, and A. Bernstein, eProPlan : A Tool to Model Automatic Generation of Data Mining Workflows, In : ECML Workshop on third generation data mining: Towards service-oriented knowledge discovery, 2010.

M. Hilario, A. Kalousis, P. Nguyen, and A. Woznica, A Data Mining Ontology for Algorithm Selection and Meta-Mining, ECML Workshop on third generation data mining: Towards service-oriented knowledge discovery, 2009.

P. Panov, S. Dzeroski, and L. N. Soldatova, OntoDM: an ontology of data mining, Proceeding on ICDM workshops, pp.752-760, 2008.

F. Serban, J. U. Kietz, and A. Bernstein, An overview of intelligent data assistants for data analysis, 3rd Planning to Learn Workshop (WS9) at ECAI'10, pp.7-14, 2010.

D. J. Hand, Intelligent data analysis: Issues and opportunities, Reasoning about Data: Second International Symposium, pp.1-14, 1997.
DOI : 10.1007/BFb0052825

URL : http://HTTP.CS.Berkeley.EDU/~berthold/CS294/hand_ida2_2.pdf

I. H. Witten, E. Frank, and M. A. Hall, Data mining, ACM SIGMOD Record, vol.31, issue.1, 2011.
DOI : 10.1145/507338.507355

M. R. Berthold, N. Cebron, F. Dill, D. Fatta, G. Gabriel et al., KNIME: The Konstanz Information Miner, 2006.
DOI : 10.1007/978-3-540-78246-9_38

C. Oprean, Méthodologies et processus en Knowledge Discovery in Databases, rapport pour le semestre 1 du 3ème année à Télécom Bretagne, 2011.

L. Kurgan and K. Cios, Trends in Data Mining and Knowledge Discovery, Knowledge Discovery in Advanced Information Systems, 2002.

C. Oprean, Etat de l'art sur les aspects méthodologiques et processus en Knowledge Discovery in Databases, rapport d'étude bibliographique du master de recherche en informatique de Télécom Bretagne, Rennes I, 2011.

L. Tankeleviciene and R. Damaseviciu, Characteristics of Domain Ontologies for Web Based Learining and their Aoolication for Quality Evaluation, Informatics in Education, vol.8, issue.1, 2009.

M. Cantarro and C. Comito, A data mining ontology for grid programming, Proceedings of the 1st International Workshop on Semantics in Peer-to-Peer and Grid Computing, 2003.

M. Hepp and D. Roman, An ontology framework for semantic Business Process Management, Proceedings of Wirtschaftsinformatik, Karlruhe, pp.147-155, 2009.

M. Choinski and J. A. Chudziak, Ontological Learning Assistant for Knowledge Discovery and Data Mining, 2009 International Multiconference on Computer Science and Information Technology, 2007.
DOI : 10.1109/IMCSIT.2009.5352735

M. Hilario, A. Kalousis, P. Nguyen, and A. Woznica, A Data Mining Ontology for Algorithm Selection and Meta-Mining, ECML Workshop on third generation data mining: Towards service-oriented knowledge discovery, 2009.

M. Charest, D. Delisle, O. Cervantes, and Y. Shen, Bridging the gap between data mining and decision support: A case-based reasoning and ontology approach, Intelligent Data Analysis, vol.12, issue.2, pp.211-236, 2008.

O. Marban, J. Segovia, E. Menesalvas, and C. Fernandez-baizan, Toward data mining engineering: A software engineering approach, Information Systems, vol.34, issue.1, pp.87-107, 2009.
DOI : 10.1016/j.is.2008.04.003

M. Charest and S. Delisle, Ontology-guided intelligent data mining assistance: Combining declarative and procedural knowledge, Proceedings of Artificial Intelligence and Soft Computing, pp.9-14, 2006.

J. Kietz, F. Serban, A. Bernstein, and S. Fischer, Data Mining Workflow Templates for Intelligent Discovery Assistance and Auto-Experimentation, ECML Workshop on third generation data mining: Towards service-oriented knowledge discovery, 2010.

S. Sharma and K. Osei-bryson, Toward an integrated knowledge discovery and data mining process model, The Knowledge Engineering Review, vol.42, issue.01, 2010.
DOI : 10.1017/S0269888906000737

V. R. Basili and D. M. Weiss, A methodology for collecting valid software engineering data, IEEE Transactions on Software Engineering, vol.10, issue.6, pp.728-738, 1986.

P. Cortez, A. Cerdeira, . Almeida-f, T. Matos, H. Jantzem et al., Modeling wine preferences by data mining from physicochemical properties, Decision Support Systems, vol.47, issue.4, 2009.
DOI : 10.1016/j.dss.2009.05.016