Step-by-step data mining guide Pete Chapman (NCR), Julian Clinton (SPSS), Randy Kerber (NCR), Thomas Khabaza (SPSS), Thomas Reinartz (DaimlerChrysler), Colin Shearer (SPSS) and Rüdiger Wirth (DaimlerChrysler)
SPSS is a registered trademark and the other SPSS products named are trademarks of SPSS Inc. All other names are trademarks of their respective owners. © 2000 SPSS Inc. CRISPMWP-1104
This document describes the CRISP-DM process model and contains information about the CRISP-DM methodology, the CRISP-DM reference model, the CRISP-DM user guide, and the CRISP-DM reports, as well as an appendix with additional related information. This document and information herein are the exclusive property of the partners of the CRISP-DM consortium: NCR Systems Engineering Copenhagen (USA and Denmark), DaimlerChrysler AG (Germany), SPSS Inc. (USA), and OHRA Verzekeringen en Bank Groep B.V. (The Netherlands). Copyright © 1999, 2000 All trademarks and service marks mentioned in this document are marks of their respective owners and are as such acknowledged by the members of the CRISP-DM consortium.
CRISP-DM 1.0
Foreword CRISP-DM was conceived in late 1996 by three “veterans” of the young and immature data mining market. DaimlerChrysler (then Daimler-Benz) was already ahead of most industrial and commercial organizations in applying data mining in its business operations. SPSS (then ISL) had been providing services based on data mining since 1990 and had launched the first commercial data mining workbench—Clementine®—in 1994. NCR, as part of its aim to deliver added value to its Teradata® data warehouse customers, had established teams of data mining consultants and technology specialists to service its clients’ requirements. At that time, early market interest in data mining was showing signs of exploding into widespread uptake. This was both exciting and terrifying. All of us had developed our approaches to data mining as we went along. Were we