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 ...

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

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 ...

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, ...

How to control for the confounders in ultrahigh dimensional data analysis is a critical and challenging issue. In this paper, we propose a novel sure independence screening method based on conditional ...