%0 Journal Article %T Multidimensional Model Design using Data Mining: A Rapid Prototyping Methodology %+ Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA) %+ Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS) %+ AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement %+ Université de Bourgogne (UB) %A Bimonte, Sandro %A Sautot, Lucile %A Journaux, Ludovic %A Faivre, Bruno %Z Etablissement Public Loire %Z DREAL Bassin Centre %Z Region Bourgogne (PARI, Projet Agrale 5) %Z French Ministry of Agriculture %Z [Departement_IRSTEA]Ecotechnologies [TR1_IRSTEA]MOTIVE %< avec comité de lecture %J International Journal of Data Warehousing and Mining (JDWM) %I IGI Global %S INTERNATIONAL JOURNAL OF DATA WAREHOUSING AND MINING %V 13 %N 1 %P 1-35 %8 2017 %D 2017 %R 10.4018/IJDWM.2017010101 %K Data Warehouses %K Support-Vector-Machine %K OLAP %K Methodologies and Tools %K Data Warehouse %K Data Mining %K Classification %K Evolution %K Conceptual-Model %K Uml Profile %Z Computer Science [cs]Journal articles %X Designing and building a Data Warehouse (DW), and associated OLAP cubes, are long processes, during which decision-maker requirements play an important role. But decision-makers are not OLAP experts and can find it difficult to deal with the concepts behind DW and OLAP. To support DW design in this context, we propose: (i) a new rapid prototyping methodology, integrating two different DM algorithms, to define dimension hierarchies according to decision-maker knowledge; (ii) a complete UML Profile, to define a DW schema that integrates both the DM algorithms; (iii) a mapping process to transform multidimensional schemata according to the results of the DM algorithms; (iv) a tool implementing the proposed methodology; (v) a full validation, based on a real case study concerning bird biodiversity. In conclusion, we confirm the rapidity and efficacy of our methodology and tool in providing a multidimensional schema to satisfy decision-maker analytical needs. %G English %L hal-01464597 %U https://u-bourgogne.hal.science/hal-01464597 %~ CIRAD %~ UNIV-BOURGOGNE %~ AGROPARISTECH %~ CNRS %~ IRSTEA %~ BD %~ OPENAIRE %~ BIOME %~ AGROPOLIS %~ TETIS %~ AGREENIUM %~ AGROPARISTECH-ORG %~ AGROSUP-DIJON %~ AGROPARISTECH-SIAFEE %~ AGROSUP-LE2I %~ LIB_UB %~ LIB-SCDONN %~ INRAE %~ INRAEOCCITANIEMONTPELLIER %~ TSCF %~ MATHNUM %~ INSTITUT-AGRO-DIJON %~ INSTITUT-AGRO-LIB %~ INSTITUT-AGRO