To illustrate the kinds of relationship that a hypergraph can tease out of a big data set—and an ordinary graph can’t—Purvine points to a simple example close to home, the world of scientific ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...

A new tool to break down and segment large data set problems and problems with many parameters in particle physics could have a wide range of applications. One of the major challenges in particle ...

When more than 155,000 students from all over the world signed up to take free online classes in electronics in 2012, offered through the fledgling US provider edX, they set in motion an explosion in ...

PivotTables in Microsoft Excel are a great way to get insights from big data sets in just a few seconds. However, most people don't make full use of their capabilities, sticking to their basic ...

One of the major challenges in particle physics is how to interpret large data sets that consist of many different observables in the context of models with different parameters. A new paper published ...

OncotypeDx offers another example of potential harm when not considering basic demographics in large-scale data set analyses. OncotypeDX is a clinical test used to recommend chemotherapy as part of ...