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 ...
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 book offers a comprehensive framework for mastering the complexities of learning high-dimensional sparse graphical models through the use of conditional independence tests. These tests are ...
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, ...
On this episode of Ropes & Gray’s Insights Lab’s multi-part Multidimensional Data Reversion podcast series, Shannon Capone Kirk and David Yanofsky discuss how artificial intelligence and machine ...
NOHARM is a program that performs factor analysis for dichotomous variables assuming that these arise from an underlying multinormal distribution. Parameter estimates are obtained by minimizing an ...
Observability is the process of understanding systems from the outside, without knowing inner intricate details. The process can help engineering and operations teams troubleshoot an issue or debug a ...
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