Simply put, data mining is the process of using algorithms and other digital analysis techniques to analyze enormous volumes of data (via IBM).

The visual data mining process, seen in the first part of this two-part article, revealed patterns in four dimensions between cumulative gas well production and independent variables ...

Data mining uncovers patterns in large data sets, revealing valuable insights for decision-making.

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.

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 ...

Faulty data mining makes seeking of decisive information akin to finding a needle in a haystack. Here are some tips to tweak your data mining exercises.

MAYA is an algorithm for ultra-efficient data mining of large single-cell datasets. MAYA deciphers the complexity of the biological pathways at stake in complex human diseases.

Researchers have created a data mining algorithm they call GOALIE that can automatically reveal how biological processes are coordinated in time.

Blockchain technology relies on mining algorithms, such as CryptoNight, to regulate cryptocurrency projects. Find out here what CryptoNight is and how it works.