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 …

Hierarchies are used in data warehouses (DWs) and on-line analytical processing (OLAP)
systems to see data at different levels of detail. However, many kinds of hierarchies arising …

The development of a data warehouse (DW) system is based on a conceptual
multidimensional model, which provides a high level of abstraction in accurately and …

Data Warehouses and On-Line Analytical Processing systems rely on a multidimensional
model that includes dimensions, hierarchies, and measures. Such model allows to express …

LOOM (landslide object-oriented model) is here presented as a data structure for landslide
inventories based on the object-oriented paradigm. It aims at the effective storage, in a …

Data aggregation in Geographic Information Systems (GIS) is a desirable feature, only
marginally present in commercial systems nowadays, mostly through ad hoc solutions. We …

Due to their multiple sources and structures, big spatial data require adapted tools to be
efficiently collected, summarized and analyzed. For this purpose, data are archived in data …

Abstract Data Warehouses (DWs) use an omnipresent time dimension for keeping track of
changes in measure values. However, this dimension cannot be used to model changes in …

Abstract In Data Warehouses and On-Line Analytical Processing systems hierarchies are
used to analyze high volumes of historical data. On the other hand, the advantage of using …

The MultiDimER model is a conceptual model used for representing a multidimensional
view of data for Data Warehouse (DW) and On-Line Analytical Processing (OLAP) …