A dimensional model is a type of data model that is less rigid and structured than other types of models. It is best for a contextual data structure that is more related to the business use or ...

The decision making processes need to reflect changes in the business world in a multidimensional way. This paper includes also similar way of viewing the data for carrying out key decisions that ...

Dimensional data modeling schemas enforce data quality before loading into Facts and Dimensions. Dimension and Fact are tied up by foreign keys that constrain referential integrity checks to prevent ...

Dimensional modeling is used to optimize a database so that data can be retrieved faster. A Dimensional Model is created using “fact” and “dimension” tables developed by Ralph Kimball.

A degenerate dimension is an easy, and, at the same time, subtle, aspect of multidimensional data modeling. Effectively, a degenerate dimension is a dimension that has not been implemented as a ...

In multidimensional data modeling practice, there is the concept of a bridge dimension. A bridge dimension, being the dimensionalized equivalent of a normalized data design's associative entity, ...

In high-dimensional data analysis, we propose a sequential model averaging (SMA) method to make accurate and stable predictions. Specifically, we introduce a hybrid approach that combines a sequential ...