Stages of the discovery process

Authors:
Thomas Reinartz
Affiliations:
Senior Researcher, DaimlerChrysler AG, Research and Technology, Ulm, Germany
Venue:
Handbook of data mining and knowledge discovery
Year:
2002

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A survey of Knowledge Discovery and Data Mining process models

The Knowledge Engineering Review
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The Knowledge Engineering Review

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Abstract

This chapter describes the stages of the knowledge discovery process and presents a joint perspective on Part 3 of this handbook. We first motivate the need for a standardization of the knowledge discovery process and we then adopt the CRISP-DM view on the knowledge discovery and data mining process. We describe the CRISP-DM process model for knowledge discovery and data mining in detail, which consists of six phases: business understanding, data understanding, data preparation, modeling, evaluation, and deployment. For each phase, we outline its tasks and the resulting outputs Of each task. Concluding remarks recapitulate directions for future research toward a unified standard for knowledge discovery and data mining.