A REVIEW ON APPLICATION OF EVOLUTIONARY TECHNIQUES ON TIME VARYING DATABASES

In the context of data mining the feature size is very large and it is believed that it needs a bigger population. Hence, this translates directly into higher computational load.Data and information have become major assets for most of the organizations. The success of any organisation depends largely on the extent to which the data acquired from business operations is utilized. classification is an important task in KDD (knowledge discovery in databases) process. It has several potential applications. The performance of classifiers is strongly dependent on the data set used for learning.This paper reviews the application of evolutionary techniques in data mining for prediction.