Application of Decision Tree Induction Technology in Insurance Data Pretreatment

Abstract

This paper uses the determination tree induction technology to delete the irrelevant attributes (or dimensions) and reduce the data quantity; The decision tree algorithm which at first is used in classification is used to dimensionality reduction, might achieve a higher accuracy, because it optimizes the algorithm measure computation in deletion attribute time. Finally uses the insurance example to explain the application of this method.