A professor has helped create a powerful new algorithm that uncovers hidden patterns in complex networks, with potential uses in fraud detection, biology and knowledge discovery. University of ...

Automatic extraction of knowledge from diverse sources of data is a challenging task across different fields. For example, in natural language processing (NLP), research on the extraction of ...

Actionable Knowledge Discovery and Data Mining encompasses advanced analytical techniques that extract not only descriptive patterns from data but also prescribe specific interventions for improved ...

Text mining and knowledge graphs connect cell-culture parameters to glycosylation for faster bioprocess optimization.

While retrieval-augmented generation is effective for simpler queries, advanced reasoning questions require deeper connections between information that exist across documents. They require a knowledge ...

University of Virginia School of Engineering and Applied Science professor Nikolaos Sidiropoulos has introduced a breakthrough in graph mining with the development of a new computational algorithm.

You need to understand how to influence topics in the Knowledge Graph if you want to help Google understanding your content. Here's how to do it. Knowledge Graphs can help search engines like Google ...

In the age when data is everything to a business, managers and analysts alike are looking to emerging forms of databases to paint a clear picture of how data is delivering to their businesses. The ...

Google's Knowledge Graph is an important element of Search. Here's what it is and how to use it to drive more visitors to your website. Google’s introduction of the Knowledge Graph in 2012 was a ...