Synthesizing Agile and Knowledge Discovery: Case Study Results |
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Authors: | Cecil Schmidt Wenying Nan Sun |
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Affiliation: | Washburn University, Topeka, KS, USA |
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Abstract: | This research adopts a framework that synthesizes Knowledge Discovery in Database (KDD), Cross Industry Standard Process for Data Mining (CRISP-DM), and agile practices. The application of this framework is demonstrated through an institutional case study of three knowledge discovery projects: Persistence, Retention, and Donor projects. Results from the case study suggest that (a) interaction and iteration are foundations for the success of a knowledge discovery project, especially one with a strong business focus; (b) agile practices facilitate the interaction and iteration nature of a knowledge discovery project; (c) adding business understanding and deployment steps from CRISP-DM to KDD explicitly helps data miners stay focused on the ultimate goals of the project—the needs of the business and the users. |
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Keywords: | Knowledge discovery data mining process model agile case study |
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