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- In this research, three different types decision tree classification (UDT, MDT and HDT) are present. 基于决策树分类算法在遥感影像分类方面的深厚潜力,探讨了3种不同的决策树算法(UDT、MDT和HDT)。
- The research of HPMiner combines the decision tree classification technology with the current railway freight bill information system compatibly, which makes the end-user can conveniently dig out the knowledge to guide the production. HPMiner系统的研究将决策树分类技术与现有货票信息系统有机地结合起来，使得应用领域分析人员可以方便地挖掘出所希望的知识，用于指导生产；
- Furthermore,using AUC to re-evaluate three classification algorithms shows classification algorithm NaiveBayes and TAN-CMI based on Bayes theorem are better than decision tree classification algorithm C4.5 in performance. 同时;用AUC对3种分类学习算法的重新评估;进一步证实了基于贝叶斯定理的NaiveBayes和TAN-CMI分类算法优于决策树分类算法C4.;5。
- Decision tree classification is a well-studied problem in data mining.Recently, there has been much interest in mining data streams.Domingos and Hulten have presented a one-pass algorithm. 数据流具有数据持续到达、到达速度快、数据规模巨大等特点;这些都给数据流挖掘领域的研究工作带来了新挑战;而其中分类算法更是当前的研究热点.
- 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。
- Decision Tree Classification Algorithm 决策树法
- Decisional tree classification 决策树分类法
- Application of Decision Tree Classification to Peking Land Cover 采用决策树分类技术对北京市土地覆盖现状进行研究
- Decision tree is a useful method of classification. 摘要决策树是分类的常用方法。
- A Parallel Decision Tree Classification Algorithm Based on Vertical Data Partitioning 一种基于纵向划分数据集的并行决策树分类算法
- Application of decision tree classification algorithm in the archeology research of Jiangzhai first phase settlement 决策树分类算法在姜寨一期聚落遗迹分类中的应用研究
- An Incremental Fuzzy Decision Tree Classification Method for Data Streams Mining Based on Threaded Binary Search Trees 一种高效的数据流挖掘增量模糊决策树分类算法
- decision tree classification 决策树分类
- A decision tree is a graphic model of a decision process. 决策树是描述决策过程的一种图形。
- Decision trees can be used for prediction. 决策树可用于进行预测。
- This paper introduces a method for feature extraction of surface EMG signal with fuzzy wavelet packet and classification with C4.5 decision tree. 提出了用模糊小波包提取表面肌电信号特征;并且用C4.;5决策树分类器对信号进行分类的方法。
- In the process of constructing a decision tree,the criteria of selecting partitional attributes will influence the eficiency of classification. 摘要 在构造决策树的过程中,分裂属性选择的标准直接影响分类的效果。
- We apply C4.5 decision tree to learnfrom the sample customer's loyalty and get the loyalty classification of many customers. 而大量客户忠诚度的得出;是采用C4.;5决策树归纳技术对刚才由层次分析法得出的少量客户的忠诚度进行学习分类的方法得出的。
- Last allow the features overpass the classification model,which created by decision tree and Markov model,to get the nodes last classification result. 最后将得到的节点特征通过由决策树和一阶马尔可夫链结合得出的分类模型进行分类。
- Emphasized contents of the course Dendrology include theories tree classification and relative systems, identification of important families and the their representatives in genus or species level. 本课程的重点是树木分类的有关理论、植物分类系统和具有重要科学意义和经济价值的科、属、种的识别。
