决策树方法

  • 网络decision tree method;Decision Tree Approach
决策树方法决策树方法
  1. 基于决策树方法的特定主题Web搜索策略

    Subject-specific Web search strategy based on decision tree method

  2. 决策树方法在恶意DLL文件检测中的应用

    Application of Decision Tree in Malicious DLL Detection

  3. 基于Web的自映射空间决策树方法研究

    Decision-tree Induction from Self-map Space Based on Web

  4. SPOT卫星影像居民地信息自动提取的决策树方法研究

    The Decision Tree Algorithm of Automatically Extracting Residential Information from SPOT Images

  5. 将机器学习中的C4.5决策树方法运用到文本的自动韵律层级标注方面。

    We use C4.5 algorithm to label text prosodic levels automatically .

  6. 基于KPCA的决策树方法及其应用

    Decision tree method based on KPCA and its application

  7. 将决策树方法引入到FSA中的人的可靠性问题的分析中,用实例说明了它不失为FSA中解决人的可靠性分析的一个有效手段。

    Introduce the decision tree method to settle Human Reliability Analysis , and illustrate its application to FSA by a given example .

  8. 决策树方法从SPOT-5卫星影像中自动提取水体信息研究

    Study on the automatic extraction of water body information from SPOT-5 images using decision tree algorithm

  9. 同时,由于糖尿病数据的连续性,选用了决策树方法中的C4.5算法作为数据挖掘算法。

    Also , for the continuity in Diabetes Mellitus data , choosing the C4.5 algorithm in Decision Tree method to be the data mining algorithm .

  10. 介绍了决策树方法的基本原理和几种常用决策树算法。详细讨论了C4.5算法特点,并针对具体的实例建立C4.5决策树。

    Introduce the principle and several algorithm of decision tree especially C4.5 . A decision tree has been built for a specific instance by using C4.5 algorithm .

  11. 首先,论述DTS综合评估的一般方法如扣分制方法、模糊评估方法、专家系统和决策树方法。指出了它们的优缺点。

    In the first place , this paper discusses the general method of the comprehensive evaluation , such as deducting-mark method , fuzzy evaluation , expert system , decision tree , points out their merits and defects .

  12. 决策树方法是DM的核心技术算法之一,它是一种常用于预测模型的算法,它通过将大量数据有目的地分类,从中找到一些具有商业价值的、潜在的信息。

    Decision tree algorithm is one of the core technique algorithm of DM , it is often used to predict models , and it can divide amount of data into different types purposefully , so that it can let others find out some valuable and potential information .

  13. pPreITMS系统是针对离子阱数据,利用机器学习中的最大期望方法和决策树方法分别识别出质谱中的噪音基线和同位素峰的预处理系统。

    PPre_ITMS is a preprocessing system for ion trap MS / MS data , which uses the expectation maximization method and decision tree to recognize the noise baseline and first isotopic peaks , respectively .

  14. 个性化远程教学系统中决策树方法的应用研究

    Application research of decision tree method in individualized distance education system

  15. 决策树方法是分类中最常用的工具之一。

    Decision tree is one of the most popular classification tools .

  16. 探讨与分析了改进决策树方法的构造与求解过程。

    We discussed and analysised the process of improvement and solution .

  17. 基于决策树方法的油炸型方便面品质评价研究

    Study on Evaluation of Fried Instant Noodle Quality Using Decision Tree

  18. 本文主要介绍如何利用决策树方法对数据进行分类挖掘。

    This paper mainly introduces the decision tree algorithm for classification .

  19. 决策树方法在遥感地质填图中的应用

    Application of Decision Tree Method in Remote Sensing Geological Mapping

  20. 决策树方法在土地荒漠化分类中的应用研究

    Research on the application of decision tree in desertification classification

  21. 决策树方法是数据挖掘的一种方便而实用的方法。

    Decision tree is a convenient and practical method for data mining .

  22. 客户流失危机分析的决策树方法

    Research method of custom forfeit crisis based on decision tree

  23. 基于复合变换的湿地信息提取的决策树方法研究&以安庆沿江湖湿地为例

    On Decision Tree Algorithm of Wetland Information Extraction Based on Complex Transformation

  24. 数据挖掘决策树方法在快速货物运输中的应用研究

    The Application of Data Mining 's Decision Tree Induction in Accelerated Freight Transportation

  25. 在数据挖掘中,决策树方法是一个重点研究方向。

    In data mining , decision tree algorithm is a key research direction .

  26. 磨损微粒识别的模糊决策树方法

    Approach of Wear Particle Classification by Fuzzy Decision Tree

  27. 最后,采用分层决策树方法提取研究区主要秋季作物类型,并进行面积统计。

    Finally , the decision tree algorithm was used for the fall crop identification .

  28. 应用决策树方法构建评价指标体系

    Constructing evaluating indexes system with decision tree method

  29. 在解决分类问题的各种方法中,决策树方法是运用最广泛的一种。

    In all the methods of classification , the decision-tree method is used vastly .

  30. 数据挖掘之决策树方法概述

    A summary of decision tree in data mining