A. Abelló, J. Samos, and F. Saltor, : a multidimensional conceptual model extending UML, Information Systems, vol.31, issue.6, pp.541-567, 2006.
DOI : 10.1016/j.is.2004.12.002

S. Bimonte, K. Boulil, F. Pinet, and M. Kang, Design of Complex Spatiomultidimensional Models with the ICSOLAP UML Profile ? An Implementation in MagicDraw, Proceedings of the 15 th International Conference on Enterprise Information Systems (ICEIS), pp.310-315, 2013.

S. Bimonte, E. Edoh-alove, H. Nazih, M. Kang, R. et al., ProtOLAP, Proceedings of the sixteenth international workshop on Data warehousing and OLAP, DOLAP '13, pp.61-66, 2013.
DOI : 10.1145/2513190.2513199

C. Favre, F. Bentayeb, and O. Boussaid, A knowledge-driven data warehouse model for analysis evolution, Frontiers in Artificial Intelligence and Applications, vol.143, pp.271-278, 2006.

B. Frochot, M. C. Eybert, L. Journaux, J. Roché, and B. Faivre, Nesting birds assemblages along the river Loire: result from a 12 years-study, Alauda, vol.71, issue.2, pp.179-190, 2003.

M. Golfarelli, R. , and S. , Data warehouse testing: A prototype-based methodology, Information and Software Technology, vol.53, issue.11, pp.1183-1198, 2011.
DOI : 10.1016/j.infsof.2011.04.002

J. C. Gower, A General Coefficient of Similarity and Some of Its Properties, Biometrics, vol.27, issue.4, pp.857-871, 1971.
DOI : 10.2307/2528823

J. Han, OLAP Mining: An Integration of OLAP with Data Mining, Proceedings of the 7th IFIP, pp.1-9, 1997.
DOI : 10.1007/978-0-387-35300-5_1

N. Huynh and J. Schiefer, Prototyping Data Warehouse Systems, Proc. DaWaK, pp.195-207, 2001.
DOI : 10.1007/3-540-44801-2_20

R. Kimball, The Data Warehouse Toolkit: Practical Techniques for Building Dimensional Data Warehouses, 1996.

I. Kojadinovic, Agglomerative hierarchical clustering of continuous variables based on mutual information, Computational Statistics & Data Analysis, vol.46, issue.2, pp.269-294, 2004.
DOI : 10.1016/S0167-9473(03)00153-1
URL : https://hal.archives-ouvertes.fr/hal-00442572

H. Mahboubi and J. Darmont, Data mining-based fragmentation of XML data warehouses, Proceeding of the ACM 11th international workshop on Data warehousing and OLAP, DOLAP '08, pp.9-16, 2008.
DOI : 10.1145/1458432.1458435
URL : https://hal.archives-ouvertes.fr/hal-00336980

R. B. Messaoud, O. Boussaid, L. Rabaséda, and S. , A Data Mining-Based OLAP Aggregation of Complex Data, International Journal of Data Warehousing and Mining, vol.2, issue.4, pp.1-26, 2006.
DOI : 10.4018/jdwm.2006100101
URL : https://hal.archives-ouvertes.fr/halshs-00476497

T. B. Pedersen, C. S. Jensen, and C. E. Dyreson, A foundation for capturing and querying complex multidimensional data, Information Systems, vol.26, issue.5, pp.383-423, 2001.
DOI : 10.1016/S0306-4379(01)00023-0

S. Rizzi, UML-based conceptual modeling of pattern-bases, Proceedings of International Workshop on Pattern Representation and Management, 2004.

O. Romero and A. Abelló, A Survey of Multidimensional Modeling Methodologies, International Journal of Data Warehousing and Mining, vol.5, issue.2, pp.1-23, 2009.
DOI : 10.4018/jdwm.2009040101

L. Sautot, B. Faivre, L. Journaux, and P. Molin, The hierarchical agglomerative clustering with Gower index: A methodology for automatic design of OLAP cube in ecological data processing context, Ecological Informatics, vol.26, 2014.
DOI : 10.1016/j.ecoinf.2014.07.011
URL : https://hal.archives-ouvertes.fr/hal-01133947

M. Usman and R. Pears, A methodology for integrating and exploiting data mining techniques in the design of data warehouses, Proceedings of the 6th International Conference on Advanced Information Management and Service (IMS), pp.361-367, 2010.