Soft Computing Technique Based on Missing Value Treatment

Abstract

Missing value treatment is an actual yet challenging issue confronted in data mining. In existing work missing value treatment is a procedure that replaces the missing values in a dataset by some conceivable values. The conceivable values are generally generated from the dataset using a statistical evaluation.Thesetypesofresultdonotgiveaccurateoutcomes.In this paper, soft computing is used in the random forest approach using for missing value treatment that isdevised and implemented on the different types of social media. Using random forest approach results are improved form existingtechnique.