Synthesizing Agile and Knowledge Discovery: Case Study Results. Issue 2 (3rd April 2018)

• Record Type: Journal Article
• Authors: Schmidt, Cecil; Sun, Wenying Nan
• Is Part Of: Journal of computer information systems. Volume 58:Issue 2(2018)
• Page Start: 142
• Page End: 150
• Publication Date: 2018-04-03
• Subjects: Knowledge discovery -- data mining -- process model -- agile -- case study; Electronic data processing -- Study and teaching -- Periodicals; 658.4038011
• DOI: 10.1080/08874417.2016.1218308
• Languages: English
• ISSNs: 0887-4417

Abstract

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.