Developing Decision Tree Using ID3 for Paddy Classification

Abstract

Data Mining is the task of discovering interesting pattern from large amounts of data where the data can be stored in database, data warehouse. Data classification is the process of building a model from available data called the training data set and classifying objects according to their attributes. Decision tree algorithms have been used for classification in a wide range of application domains. The aim of this paper is to study about decision tree algorithm. This system is intended to develop the type of Myanmar’s paddy data by using decision tree induction classification algorithm, Depending upon the data tuples of paddy dataset, the system can classify the type of paddy data whether it is good or bad quality and quantity.