Think of data mining as digging for digital gold. It’s the technique of studying big data to reveal insights, trends, and links that aren't instantly apparent. In simple terms, it takes unprocessed ...

Data mining typically involves several steps, including data collection, data cleaning, the application of algorithms, and the interpretation of results. Some common techniques in data mining ...

This would risk missing important categories. With data mining it is possible to let the data itself determine the groups. This is one of the black-box type of algorithms that are hard to understand.

Predictive analytics, pattern recognition, and classification problems are not new. Long used in the financial services and insurance industries, predictive analytics is about using statistics, data ...

The application of data mining algorithms in animal weight prediction has emerged as a vital tool for modern livestock management. Advanced techniques such as Classification and Regression Trees ...

So if race is disproportionately (but not explicitly) represented in the data fed to a data-mining algorithm, the algorithm can infer race and use race indirectly to make an ultimate decision.