Missing values occur commonly in the multidimensional data warehouses. They may generate problems of usefulness of data since the analysis performed on a multidimensional data warehouse is through different dimensions with hierarchies where we can roll up or drill down to the different parameters of analysis. Therefore, it’s essential to complete these missing values in order to carry out a
Using data warehouses to analyse multidimensional data is a significant task in company decision-making. The data warehouse merging process is composed of two steps: matching multidimensional components and then merging them. Current approaches do not take all the particularities of multidimensional data warehouses into account, e.g., only merging schemata, but not instances; or not exploiting hierarchies nor fact tables. Thus,
CIRCLE 2022 wants to offer young researchers the opportunity to meet and discuss with senior researchers. CIRCLE is supported by the ARIA French conference (CORIA, COnférence en Recherche d’Information et Applications), the Spanish Conference on Information Retrieval (CERI, Congreso Español de Recuperación de Información). The main objective of CIRCLE 2022 is to propose a unique place for stimulating and disseminating research
Initiated in 2012 by WSL in Belgium, the Startech program aims to develop the entrepreneurial skills of engineering school students. Josiane Mothe, Professor at Jean-Jaurès University in Toulouse, has adapted this training program to the field of Earth Observation as part of the European FabSpace project. The program aims to be inclusive in compliance with european values. The first week