We propose a predictive model beyond classification ... entire dataset. Clustering analysis, a data mining technique that groups similar data points together, groups students based on similar ...

Industries from retail to finance are using clustering to personalize services, detect fraud, monitor equipment and improve ...

A University of Maine study has compared how well artificial intelligence models and human clinicians handled complex or ...

The Coalition for Global Hepatitis Elimination's National Hepatitis Elimination Profiles assess the status of national data, ...

THE feud between one of the world’s biggest mining companies and the country’s top horse studs is back on, with the Drayton South mining project a goer. The decision continues a five-year ...

But with the latest inflation report coming shortly after those tariffs were implemented, their impact wasn't necessarily baked into the data. As those price hikes work through the economy ...

Coinbase also said that the criminals secured government ID images, account balances and corporate data. Two-factor authentication codes and private keys were not breached, it added. When asked ...

As a result, isolation between user and kernel is broken, and a non-privileged user can leak data from privileged processes. ETH Zurich's team developed an exploit that trains the CPU to predict a ...

Variance is a measurement of dispersion across a data set, comparing the difference between every other number in the set. Variance is a statistical measurement of how large of a spread there is ...

Welcome to your gateway to the IMF's global economic data. Our new data portal provides streamlined access to timely, reliable, and easy-to-understand macroeconomic and financial data. While the ...