Taher Omran Ahmed

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Multidimensional structures or hypercubes are commonly used in OLAP to store and organize data to optimize query response time. The multidimensional approach is based on the concept of facts analyzed with respect to various dimensions. Dimensions are seen as axes of analysis forming a vector space in which each cell is located by a set of coordinates. In(More)
The multidimensional structures or hypercubes are commonly used in OLAP (On Line Analytical Processing) to store and organize the data with the goal of optimizing query response time. The multidimensional approach is based on the concept of facts or measures analyzed with respect to various prospects or dimensions to facilitate the decision making process.(More)
Résumé : Cet article présente un panorama des différents travaux qui sont effectués dans notre équipe autour de l’intégration des données spatiotemporelles dans les entrepôts de données et les hypercubes. Nous nous sommes plus particulièrement intéressés à la prise en compte des évolutions dans les dimensions spatiales, à la modélisation multidimensionnelle(More)
Multidimensional structures are used in OLAP technology to aggregate and format data with the goal of optimizing responses to users' queries. These structures have been widely used in applications that deal with discrete dimensions. In this paper we present a brief survey of the different multidimensional models and propose a model that supports both(More)
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