Data Mining Process

Abstract

In order to systematically conduct data mining analysis, a general process is usually followed. There are some standard processes, two of which are described in this chapter. One (CRISP) is an industry standard process consisting of a sequence of steps that are usually involved in a data mining study. The other (SEMMA) is specific to SAS. While each step of either approach isn’t needed in every analysis, this process provides a good coverage of the steps needed, starting with data exploration, data collection, data processing, analysis, inferences drawn, and implementation.