Abstract

In the preceding decade data mining has came into sight as one of the largely energetic areas in information technology Traditional data mining is seriously dependent on data itself and relies on data oriented methodologies So there is a universal necessity in bridging the space among academia and trade is to provide all-purpose domain-related matters in surrounding real-life applications Domain-Driven Data Mining try to build up general principles methodologies and techniques for modelling and reconciling wide-ranging domain-related factors and synthesized ubiquitous intelligence adjacent problem domains with the data mining course of action and discovering knowledge to hold up business decision-making