Review of Domain Driven Data Mining

This paper presents a review of three papers based on Domain Driven Data Mining. In the first paper (1), Domain Driven Data Mining is proposed as a methodology and a collection of techniques targeting domain driven actionable knowledge delivery to drive Knowledge Discovery from Data (i.e. KDD) toward enhanced problem-solving infrastructure and capabilities in real business state of affairs. The second paper (2) emphasizes the development of methodologies, techniques, and tools for actionable knowledge discovery and delivery by incorporating relevantly ubiquitous intelligence surrounding data-mining-based problem solving. In the third paper (3) an application for intelligent credit scoring has been discussed using domain driven data mining techniques.