Sparse Graphical Modeling for High Dimensional Data: A Paradigm of Conditional Independence Tests Faming Liang Bochao Jia, Faming Liang Chapman & Hall August 2, 2023 This book offers a comprehensive… ...

When performing dimension modeling, the atomic data is loaded into dimensional structures. Then the dimensional models are generated or built around the business processes. While creating, filter ...

What does dimensional modeling actually mean? Find out inside PCMag's comprehensive tech and computer-related encyclopedia.

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 ...

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 ...

David E. Foster, An Overview of Zero-Dimensional Thermodynamic Models for IC Engine Data Analysis, SAE Transactions, Vol. 94, Section 7: FUELS AND LUBRICANTS (1985), pp. 436-449 ...

Inmon versus Kimball is one of the biggest data modelling debates among data warehouse architects. Here is some help to select your own approach.