期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2013
卷号：1
期号：6
出版社：S&S Publications
摘要：In the context of data mining the feature size is very large and it is believed that it needs a biggerpopulation. Hence, this translates directly into higher computational load.Data and information have become major assetsfor most of the organizations. The success of any organisation depends largely on the extent to which the data acquiredfrom 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 forlearning.This paper reviews the application of evolutionary techniques in data mining for prediction.
