Imput data→data mining→information
(The process between the first two phases is called "data preprocessing", which includes feature selection, dimensionality reduction, normalization, and data subsetting)
(The process between the second two phases is called "data postprocessing", which includes filtering patterns, visualization, and pattern interpretation)