When To Use Supervised And Unsupervised Data Mining
Data mining techniques come in two main forms: supervised (also known as predictive or directed) and unsupervised (also known as descriptive or undirected). Both categories encompass functions capable of finding different hidden patterns in large data sets.
Although data analytics tools are placing more emphasis on self service, it’s still useful to know which data mining operation is appropriate for your needs before you begin a data mining operation.
Supervised Data Miningdata-mining-infographic
Supervised data mining techniques are appropriate when you have a specific target value you’d like to predict about your data. The targets can have two or more possible outcomes, or even be a continuous numeric value (more on that later).