Big data and the Internet of Things era continue to challenge computational systems. Several technology solutions such as NoSQL databases have been developed to deal with this challenge. In order to ...

The application of graph databases to different domains is gaining momentum. The Resource Description Framework (RDF) is one of the data models supported by graph databases, and SPARQL is the standard ...

Using a database as the basis for a linear algebra engine gives us the benefit of query optimization for free. 2.2. The challenges. However, there are two main concerns associated with implementing ...

This project was completed as part of the Miuul - Linear Algebra for Data Science and Machine Learning course. The objective of the project was to apply the linear algebra concepts covered in the ...

Large-scale computations on networks and graphs arise in many areas of modern data science. Graph theory and linear algebra are of course intimately linked. This minisymposium will highlight tools ...

21670 - Linear Algebra for Data Science. This course is designed to present and discuss those aspects of Linear Algebra that are most important in Data Analytics. The emphasis will be on developing ...