A database model that focuses on decision support outcomes rather than the normal relationships between datasets as in an entity relationship (ER) model. ER models are "normalized" models that are ...
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 ...
We examined the feasibility and results of a multilevel multidimensional nominal response model (ML-MNRM) for measuring both substantive constructs and extreme response style (ERS) across countries.
A radiation model based on the Discrete Ordinates Method (DOM) was incorporated into the KIVA3v multidimensional code to study the effects of soot and radiation on diesel engine performance at high ...
Your source for the news, opinions, and reader reaction on the industry’s hottest controversy. Excerpt from Microsoft SQL Server 2008 Analysis Services Unleashed. Working with relational databases, we ...
This manuscript makes a valuable contribution to understanding learning in multidimensional environments with spurious associations, which is critical for understanding learning in the real world. The ...
At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...
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