What is the difference between unsupervised data mining and supervised data mining?

What will be an ideal response?

With unsupervised data mining, analysts do not create a model or hypothesis before running the analysis. Instead, they apply the data mining software to the data and observe the results. With this method, analysts create hypothesis after the analysis in order to explain the patterns found.
With supervised data mining, analysts develop a model prior to the analysis and apply statistical analyses to the data to estimate parameters of the model. Regression analysis is an example of supervised data mining.