In the last two decades, interactive visualization and analysis have become a central tool in
data-driven decision making. Concurrently to the contributions in data visualization …

Data warehouses are databases of a specific kind that periodically collect information about
the activities being performed by an organization. This information is then accumulated over …

Spatio-temporal databases store information about the positions of individual objects over
time. In many applications, however, such as traffic supervision or mobile communication …

Data warehouses and online analytical processing (OLAP) are emerging key technologies
for enterprise decision support systems. They provide sophisticated technologies from data …

Recently, a technique called quotient cube was proposed as a summary structure for a data
cube that preserves its semantics, with applications for online exploration and visualization …

Data warehouses are information repositories specialized in supporting decision making.
Since the decisional process typically requires an analysis of historical trends, time and its …

Database systems offering a multidimensional schema on a logical level (eg OLAP systems)
are often used in data warehouse environments. The user requirements in these dynamic …

On-Line Analytical Processing (OLAP) tools allow querying large multidimensional
databases called data warehouses (DW). OLAP-style data analysis over the semantic web …

Methods of designing a data warehouse (DW) usually assume that its structure is static. In
practice, however, a DW structure changes among others as the result of the evolution of …

In multidimensional data models intended for online analytic processing (OLAP), data are
viewed as points in a multidimensional space. Each dimension has structure, described by a …