Mining investment venture rules from insurance data based on decision tree

Abstract

Classification is a basic method of Data Mining. In this paper, we first introduce the basic concept of classifier and how to evaluate the precision of the classifier in this paper. Then we expatiate that how to use the Decision Tree Classifier to search the factors which will bring more venture at the guarantee slip, on the basis of the guarantee slip and compensation information database established by insurance agents. As a result, we gain some useful rules which will be useful to control investment venture. © Springer-Verlag Berlin Heidelberg 2003.