A Survey on Improved Hybrid Classification Methods in Data Mining

Abstract

Data mining is powerful concept with great potential to predict future trends and behaviour. It refers to the extraction of hidden knowledge from large data set using various techniques. But as the amount of data generated is increasing exponentially, harnessing such voluminous data has become a major challenge. To address this problem there is proposed various improved classification methods into Data mining. All this methods use hybrid algorithm to improve classification in data mining. Here hybrid algorithm is nothing but logical combination of multiple pre-existing techniques to enhance performance and provide better results.