A STUDY OF DM TECHNIQUES IN SOFT COMPUTING FRAMEWORK

Data Mining is one of the fundamental steps in KDD process and is concerned with the algorithmic means by which patterns or structures are enumerated from the data under acceptable computational efficiency. Soft computing tools are individually or in integrated manner, are turning out to be strong candidates for performing Data mining Tasks efficiently. The main constitutes of soft computing indicates Fuzzy logic, Neural networks, Genetic Algorithms and Rough sets. Each of them contributes a distinct methodology for addressing problems in its domain. This is done in a co-operative, rather than a competitive manner. The result is a more intelligent and robust system providing a human ? interpretable, low cost, approximate solution, as compared to traditional techniques.The present article provides an overview of the available literature on use of data mining in the soft computing framework.