Synthesizing Agile and Knowledge Discovery: Case Study Results

被引:9
作者
Schmidt, Cecil [1 ]
Sun, Wenying Nan [1 ]
机构
[1] Washburn Univ, 1700 Coll Ave, Topeka, KS 66621 USA
关键词
Knowledge discovery; data mining; process model; agile; case study; PROCESS MODELS; ALGORITHMS;
D O I
10.1080/08874417.2016.1218308
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:142 / 150
页数:9
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