In this paper, we present different proposals for multidimensional data cubes, which are the
basic logical model for OLAP applications. We have grouped the work in the field in two …

This article deals with multidimensional analyses. Analyzed data are designed according to
a conceptual model as a constellation of facts and dimensions, which are composed of multi …

Interactive multidimensional data analysis tools (mostly OLAP systems) are the predominant
frontend tools for end users in data warehouse environments. Thus, the design of these …

Data warehouses can be defined as 'subject-oriented', integrated, time-varying, non-volatile
collections of data that is used primarily in organizational decision making. Nowadays, data …

In this paper, we investigate the problem of visualizing multidimensional data cubes, and
propose a novel technique for supporting advanced OLAP visualization of such data …

A variety of multidimensional data models have recently been proposed by both academic
and industry communities. but consensus on formalism or even a common terminology has …

Efficiently supporting advanced OLAP visualization of multidimensional data cubes is a
novel and challenging research topic, which results to be of interest for a large family of data …

In this paper we address the problem of integrating independent and possibly
heterogeneous data warehouses, a problem that has received little attention so far, but that …

The development of data warehouses begins with the definition of multidimensional models
at the conceptual level in order to structure data, which will facilitate decision makers with an …

Generating tool specific schemata and configuration information for OLAP database tools
from conceptual graphical models is an important prerequisite for a comprehensive tool …