E-business domains have been considered killer domains for different data analysis techniques. Most researchers have examined data mining (DM) techniques to analyze the databases behind E-business websites. DM has shown interesting results, but this technique presents some restrictions concerning the content of the database and the level of expertise of the users interpreting the results. In th...

The Semantic Web (SW) has drawn the attention of data enthusiasts, and also inspired the exploitation and design of multidimensional data warehouses, in an unconventional way. Traditional data warehouses (DW) operate over static data. However multidimensional (MD) data modeling approach can be dynamically extended by defining both the schema and instances of MD data as RDF graphs. The importanc...

The emergence of the SOLAP concept supports map visualization for improving data analysis, enhancing the decision making process. However, in this environment, maps can easily become cluttered losing the benefits that triggered the appearance of this concept. In order to overcome this problem, a post-processing model is proposed, which relies on Geovisual Analytics principles. Namely, it takes ...

It is well known that transactional and analytical systems each require different database architecture. In general, the database structure of transactional systems is optimized for consistency and efficient updates while the database structure for decision-support systems is optimized for complex query analysis and key performance indicators reporting. Spatial data has also become an important...

Over the years, the mass consumption of spatial data caused several concerns in the geomatics community about the risk of data to be misused, especially by people who have little expertise in spatial referencing methods and their impact on spatial analysis. These concerns increased recently with the arrival of a new category of spatial decision-support applications, called Spatial OLAP or SOLAP...