International Journal of Pure and Applied Research in Engineering and Technology (IJPRET)
In this paper, the authors present a framework for knowledge discovery in databases. They describe finks between data mining, knowledge discovery and other related fields. They then define the KDD process and basic data mining algorithms, discuss application issues and conclude with an analysis of challenges facing practitioners in the field. They look at the existing tools, describe some representative applications, and discuss the major issues and problems for building and deploying successful applications and their adoption by business users. Finally, they examine how to assess the potential of a knowledge discovery application.