Analysing Uncertain Data by Building Decision Tree using ID3 Algorithm

Abstract

In Data mining, Classification of objects based on their features into pre-defined categories is a widely studied problem with rigorous applications in fraud detection, artificial intelligence methods and many other fields. Among the various classification algorithms available in literature the decision tree is one of the most practical and effective methods and uses inductive learning. In this paper we reviewed various decision tree for same dataset and we are mainly working on the ID3 algorithm.