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- This concept is used to choose partitional attributes in the algorithm of decision trees construction. 利用该概念在决策树构造过程中选择划分属性，设计了基于离散度的决策树构造算法DSD。
- The algorithm of decision trees is well known due to simpleness and easy to realize in machine learning. 在各种机器学习算法中,决策树以其简单容易实现等特点被认可。
- Some algorithms of Decision tree learning, especially C4.5, are applied to case retrieval, case revisal and case base maintenance. 决策树学习算法;主要是C4.;5在范例检索、CBR修正、CBR维护中的应用。
- Algorithm of Decision Tree Analysis of Data Warehouse in Colliery ERP Systems 煤炭ERP数据仓库的决策树统计分析算法
- STUDY ON THE DAILY CHARACTERISTIC LOAD FORECASTING BASED ON THE OPTIMIZIED ALGORITHM OF DECISION TREE 基于改进决策树算法的日特征负荷预测研究
- Application of incremental learning algorithm of decision tree to fault diagnosis 一种决策树增量学习算法在故障诊断中的应用
- algorithm of decision trees 决策树方法
- Algorithm of decision tree 决策树算法
- Based on the reality of commercial banks in China at present, a credit risk assessment model is built based on the analysis frame of decision tree C4.5 algorithm. 摘要结合我国商业银行的实际，基于数据挖掘中决策树C4.;5算法的分析框架建立了商业银行的信用风险评估模型，通过此模型可以根据贷款企业的财务指标，得出企业是否违约的分类。
- Quinlan, J.R. Induction of Decision Trees, Machine Learning, 1:81-106, 1986. 胡守仁;余少波;戴葵;(1993).;神经网络导论
- The algorithm of creating decision tree was given in this paper.The method of controlling overlap by overlap coefficient was proposed and it can overcome accumulating misclassification. 给出决策树的生成算法，提出了利用交叠系数来控制交叠，从而克服错分积累，提高分类准确率。
- Concerning decision table, the concept of partial granulation was introduced, and an algorithm of dynamic mining of decision rules based on partial granulation was proposed. 摘要针对决策表，引入了偏序粒的概念，提出了一种基于偏序粒的动态决策规则提取算法。
- Pruning is an important domain of decision tree induction,which can simplify and populate decision trees and avoid overfitting. 决策树剪枝的作用是简化决策树,提高决策树的泛化能力,避免对训练集的过适应,是决策树学习中的重要研究内容。
- The paper particularly describes the method of diagnose uroflowmetry graph based on the self-adapted template with the form of decision tree. 尿流率检查对下尿路排尿障碍等疾病的诊断具有重要的参考价值,其可以客观的反映下尿路排尿功能的一般水平。
- In this paper, Based on Rough sets, the algorithm of decision form reduction algorithm of Rough sets is studied, and is applied to the recognition of characteristic points in electrocardiogram. Finally the reduction rules are obtained. 本文在粗糙集理论的基础上，对粗集决策表的简化理论进行了研究，并将粗集决策表简化方法用于心电图特征点的识别，得到了心电图特征点识别的简化规则，利用这些简化规则可以有效地识别出心电图特征点。
- Decision tree is a useful method of classification. 摘要决策树是分类的常用方法。
- Goertzel algorithm is a fast algorithm of DFT. 戈泽尔算法是离散傅立叶变换的一种快速算法。
- So far, people put forward many kinds of decision tree classification algorithms.Each has its strong point on executing rate, expansibility, intelligibility of output and accuracy of classification. 迄今为止,人们提出了很多种不同的决策树分类算法,各种算法在执行速度、可扩展性、输出结果的可理解性,分类的准确性等方面各有千秋。
- The moment of decision had arrived. 决策的时刻已经到了。
- Changes start from a moment of decision. 改变就开始于决定的那一瞬间。
