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 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.

This is especially true for high dimensional data in which there are more parameters than observations. We discuss a score test on a hyperparameter in an empirical Bayesian model as an alternative to ...

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 ...

As organizations undergo digital transformation, the importance of leveraging structured, multidimensional data and AI will continue to grow.

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 ...

The patent summary indicates that the invention relates to the field of meteorological short-term forecasting technology, specifically to a forecast model architecture based on point cloud data and a ...

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 ...