ABSTRACT

In this chapter we examine a process model for data mining called CRISPDM. CRISP-DM is an acronym for the CRoss-Industry Standard Process for Data Mining. CRISP-DM has become something of a de facto standard for organizing and conducting data mining projects. The document that describes CRISP-DM in detail is CRISP-DM 1.0: Step-By-Step Data Mining Guide (Chapman et al., 2000), which is published by the CRISP-DM consortium, and can be freely downloaded from the CRISPDM Consortium’s web site (www.crisp-dm.org or from this book’s web site, www.customeranalyticsbook.com). Our goal is a condensed, somewhat paraphrased, overview of the CRISP-DM 1.0 model. Before doing this, however, we provide some historical context on data mining process models in general and CRISP-DM in particular.