Grid systems follow a new paradigm of distributed computing that enables the coordination
of resources and services that are not subject to centralized control, can dynamically join …

OLAP users heavily rely on visualization of query answers for their interactive analysis of
massive amounts of data. Very often, these answers cannot be visualized entirely and the …

Initially popularized by Amazon. com, recommendation technologies have become
widespread over the past several years. However, the types of recommendations available …

The lack of an appropriate conceptual model for data warehouses and OLAP systems has
led to the tendency to deploy logical models (for example, star, snowflake, and constellation …

Biomedical research is now generating large amounts of data, ranging from clinical test
results to microarray gene expression profiles. The scale and complexity of these datasets …

We describe a methodology and a prototype implementation of an online analytical
processing system for mobile devices. The system guides the user to narrow down the …

On-Line Analytical Processing (OLAP) provides an interactive query-driven analysis of
multidimensional data based on a set of navigational operators like roll-up or slice and dice …

Answers of OLAP queries often cannot be visualized entirely and the user has to navigate
through them to find relevant facts. One possible way to solve this problem is to personalize …

Initially popularized by Amazon. com, recommendation technologies have become
widespread over the past several years, both in the industry and academia. The traditional …

Multidimensional databases are commonly used for decision making in the context of data
warehouses. Considering the multidimensional model, data are presented as hypercubes …