The Decision Tree Classification Method Is Applied Research In The Insurance Business

Insurance is risk business, Insurance company important work is risk estimatation, It is essential to Insurance company, the design of insurance Premium and policy need the detailed Analysis. while making using of data mining tool to Analyse risk,it can adopt decision tree ,on the base of policy and claim database ,find the relatively risky field., Thus it can guide the work of the insurance company. This paper utilizes SGI MineSet's Decision tree classfier to mine in Medical Insurance data, And have drawn some rules of practical control risk,at the same time it discuss data mining method's the prospect and actual effect in the insurance business .The tree algorithm of decision is one kind to sum up the categorized algorithm. it can well combine with the ultra large-scale database, And it can deal with the relevant many kinds of data type(continious, Disperse, Cloth). And its result is easy to be understood, Its categorised mode is easy to transform into a categorised rule, The accuracy of the categorized model formed by the tree algorithm of decision is relatively high too. After analysing various kinds of typical decision tree and classifying algorithms , Key research is applying to the large-scale database elasticity issue in decision tree algorithm. Providing the elasticity decision tree algorithm structure and procedure .Key words :Data mining; Classification ;Decision tree algorithm; Scalability of decision tree; Classfier ; Insurance.