On the basis of analysing the multivalue bios , this paper proposes a new decision tree algorithm , af algorithm , which avoids the multivalue bios problem 在深入分析多值偏向问题的基础上,本文提出了一种克服了多值偏向问题的决策树算法? ? af算法。
The experiment shows a good enhancement which increase ten percentage . at last , the foodmart dss is developed with the new technology as a case for paper 用改进后的决策树算法进行客户消费卡类型的分类和预测，实验结果表明，分类性能提高约10 % 。
I have discussed decision tree arithmetic and some assistant arithmetic in the article and have completed its data structure and arithmetic 笔者在其中对决策树算法及一些辅助算法进行了一定程度的探讨，完成了决策树算法在《车辆管理分系统》中的应用。
This paper proposes a theoretical method , with which we can analyse the multivalue bios problem without the expertise of specific field 本文提出的分析多值偏向问题的理论方法,使得在缺乏专家知识的情况下,仍然能够对决策树算法的多值偏向问题作出判断。
Since the id3 algorism has obvious advantage on attribute screening , the algorism so as to get a simplified financial index system was modified in this paper 摘要利用决策树算法在筛选属性方面的优势，对传统id3算法进行了改进，建立了一个精简的财务指标体系。
Classification and prediction is one of the main subjects of data mining , while decision tree algorithm is the most popular classification algorithm among all classification algorithms 分类是数据挖掘的重要内容之一,而在分类算法中以决策树算法应用最为广泛。
In this paper , a random model based decision tree algorithm was applied , and an intrusion detection model based on it was provided 采用了一种基于随机模型的决策树算法，在保证分类准确率的基础上，减少了对系统资源的占用，并设计了基于此算法的分布式入侵检测模型。
Decision tree induction has been applied to the area of automatic knowledge acquisition , which learned from a set of cases to generate a decision tree 决策树算法是对一组已知示例进行归纳学习，并生成一棵决策树的方法，该算法己被广泛的应用于自动知识获取领域。
Zero - coding method is an effective scanning method of wavelet decomposed coefficients , which can eliminate correlation of wavelet coefficients in different resolutions 零树算法是一种效果比较好的小波系数扫描编码方法，可去除不同尺度间的小波系数幅值的强相关性。
Experiment is the traditional method for analysing multivalue bios of decision tree algorithm , but it has a fault that we must have the expertise of the specific field 实验方法是分析决策树算法中的多值偏向问题的传统方法,其缺点是需要具备该数据领域的专家知识。
