Building a Knowledge Discovery in Database (KDD) Model Based on SCRUM Agile Methodology (SCRUM-BI)
published by Higher Institute for Applied Sciences and Technology
in 2016
in
and research's language is
العربية
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Abstract in English
In this work, we are proposing a new model for knowledge discovery in database (KDD) named "SCRUM-BI". It based on SCRUM agile methodology to enhance the way of building Business Intelligence and Data Mining applications. This model characterized as more adaptive to the changing requirements, priorities and rapidly evolving business environments. SCRUM-BI Also improves and enhances the process of knowledge obtaining and sharing, which contributes to support strategic decision-making.
The model was validated using a case study on the telecommunications sector in Syria.
References used
G. P. Shapiro, C. Matheus and W. Frawley, "Knowledge Discovery in Databases - An Overview," AI Magazine, pp. 57-70, Septemper 1992
U. Fayyad, G. P. Shapiro and P. Smyth, Advances in knowledge discovery and data mining, Menlo Park, CA: American Association for Artificial Intelligence, 1996
G. P. Shapiro, "Analytics and data mining: The key to successful CRM," in Knowledge Discovery and Data Mining Conference, Boston, MA, 2000