In this paper, we have analyzed the characteristics of Chinese foreign exchange money laundering activities, and combined the decision tree approach with financial domain knowledge.
将数据挖掘方法与金融领域知识相结合，研究可疑金融交易识别策略与方法，是我国反洗钱领域的重要基础性工作。
Research on the pruning approach of decision tree.
对决策树剪枝方法进行研究。
Aim to upwards points, in this paper, advance a knowledge roughness based approach to hybrid decision tree, select less knowledge roughness as tested attribute to construct decision tree.
针对以上两种决策树特点，提出了基于知识粗糙度的混合变量决策树的构造方法，选择知识粗糙度较小的分类属性来构造决策树。
应用推荐