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 ...

LongCat-Flash employs a mixture of experts (MoE) architecture with 560 billion parameters, which enhances model capabilities ...

An important concept in the multidimensional data model is a subspace or subcube. A subcube represents a part of the full space of the cube as some multidimensional figure inside the cube.

What Is Dimensional Modeling Example? A dimension table and a fact table comprise a dimension table in a multidimensional data model. Location, product, time, promotion, organization, and many others ...

The Multidimensional Data Provider (MDP) is a data model that accesses a variety of data structures in a distributed environment. These data structures include SAS data sets, multidimensional ...

This article presents a new approach for analysis of multidimensional longitudinal data, motivated by studies using an item response battery to measure traits of an individual repeatedly over time. A ...

Albert Maydeu-Olivares, Multidimensional Item Response Theory Modeling of Binary Data: Large Sample Properties of NOHARM Estimates, Journal of Educational and Behavioral Statistics, Vol. 26, No. 1 ...

Preventing data expansion through efficient handling of sparse data. The best measurement of the efficiency of a multidimensional data model is in the number of values that it can store within a given ...

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, ...