Efficient Classification of Data Using Decision Tree

Abstract

Data classification means categorization of data into different category according to rules. The aim of this proposed re search is to extract a kind of “structure” from a sample of objects . To rephrase it better to learn a concise representation of these data. Present research performed over the classification algorithm learns from the training set and builds a model and tha t model is used to classify new objects. This paper discusses o ne of the most widely used supervised classification techniques is the decision tree. And perform own Decision Tree evaluate strength of own classification with Performance analysis and Results analysis.