Application of Decision Tree Induction Technology in Insurance Data Pretreatment

摘要

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