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 ...

Multidimensional longitudinal data result when researchers measure an outcome through time that is quantified by many different response variables. These response variables are often defined on ...

Diane D. Allen, Mark Wilson, Introducing multidimensional item response modeling in health behavior and health education research, Health Education Research, Vol. 21, Supplement 1: Item Response ...

Conclusively, Multi-Dimensional Modeling plays a crucial role in empowering decision-making and driving process improvements in enterprise data management. By providing a comprehensive view of data ...

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 ...

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.

The patent abstract indicates that this invention provides a project cost intelligent control method and system based on dynamic multidimensional modeling in the intersection of project management and ...