Data mining methods

 In the world of data, data mining techniques resemble treasure hunter techniques. They sort through a lot of data to find hidden links, patterns, and trends that might not be immediately apparent. One popular technique is association analysis, which searches a dataset for relationships between various variables. For instance, data mining in the retail industry may show that consumers who buy diapers are also inclined to buy baby wipes. Classification is an additional technique wherein data is arranged into groups according to specific standards. For example, data mining in healthcare can assist in grouping patients according to their medical history and demographics into various disease risk groups. Clustering is an additional approach that facilitates the identification of patterns and segments within a dataset by assembling related data points into groupings. 

 What Is Data Mining? How It Works, Techniques & Examples | NetSuite

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