A Methodology and Tool for Rapid Prototyping of Data Warehouses Using Data Mining: Application to Birds Biodiversity
| Affiliation auteurs | !!!! Error affiliation !!!! |
| Titre | A Methodology and Tool for Rapid Prototyping of Data Warehouses Using Data Mining: Application to Birds Biodiversity |
| Type de publication | Conference Paper |
| Year of Publication | 2014 |
| Auteurs | Sautot L, Bimonte S, Journaux L, Faivre B |
| Editor | Ameur YA, Bellatreche L, Papadopoulos GA |
| Conference Name | MODEL AND DATA ENGINEERING, MEDI 2014 |
| Publisher | CNRS; ENSEEIHT Toulouse; IRIT; INP Toulouse; ISAE ENSMA; LIAS; Univ Cyprus |
| Conference Location | HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY |
| ISBN Number | 978-3-319-11587-0; 978-3-319-11586-3 |
| Mots-clés | Data Warehouse design, OLAMining, Rapid prototyping |
| Résumé | Data Warehouses (DWs) are large repositories of data aimed at supporting the decision-making process by enabling flexible and interactive analyses via OLAP systems. Rapid prototyping of DWs is necessary when OLAP applications are complex. Some work about the integration of Data Mining and OLAP systems has been done to enhance OLAP operators with mined indicators, and/or to define the DW schema. However, to best of our knowledge, prototyping methods for DWs do not support this kind of integration. Then, in this paper we present a new prototyping methodology for DWs, extending [3], where DM methods are used to define the DW schema. We validate our approach on a real data set concerning bird biodiversity. |