Exploration techniques of the spatial data warehouses: overview and application to incendiary domain

Data warehouses have appeared in answer to the new requirements of database technologies. With them appeared some automated techniques like knowledge discovery in databases (KDD), data mining (DM) and online analytical processing (OLAP), which have registered a great demand in relational, transactional and finally in geographical databases. We give a survey of the state of the art of this research field. We mention the principles of data warehouses defining the context of geographical information, and present models used to build the data warehouse. Then, the tools permitting exploration of data warehouses and considered as tools for decision making are introduced. An evaluation of the technique of generalization is carried out using incendiary data. On the other hand, we expose a suggestion to manage incendiary data by cubic representation