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CRISP-DM 1

CRISP-DM 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 R diger 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.

The CRISP-DM methodology 1.1 Hierarchical breakdown The CRISP-DM methodology is described in terms ofa hierarchical process model, consisting of sets of tasks described at four levels of abstraction (from general to specific): phase, generic task, specialized task, and process instance (see figure 1).

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