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

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

It starts with collecting raw data from various sources. Then comes pre-processing, which is cleaning and transforming the data. After that, data mining algorithms analyse the data to find patterns.

Data mining is a process that turns large volumes of raw data into actionable intelligence, and it's used by a wide variety of industries.

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.

Data mining isn’t just techno-speak for messing around with a lot of data. Data mining doesn’t give you supernatural powers, either. Data mining is a specific way to use specific kinds of math ...

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 ...