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- stochastic decision tree analysis 隨機決策樹分析
- Decision tree is a useful method of classification. 摘要決策樹是分類的常用方法。
- A decision tree is a graphic model of a decision process. 決策樹是描述決策過程的一種圖形。
- In the Grid pane, click Source and then select TM Decision Tree mining model. 在「網格」窗格中,單擊「源」,然後選擇「TM Decision Tree挖掘模型」。
- Click Select Model, expand Targeted Mailing, and then choose TM Decision Tree. 單擊「選擇模型」,展開「目標郵件」,再選擇TM Decision Tree。
- This viewer contains two tabs, Decision Tree and Dependency Network. 此查看器包含兩個選項卡,即「決策樹」和「相關性網路」。
- Evolutionary decision tree method has the advantage of global search. 演化決策樹方法將傳統的決策樹演算法與演化演算法相結合,具有全局搜索的優點。
- Decision trees can be used for prediction. 決策樹可用於進行預測。
- Decision tree, neural networks and Bayesian networks are the main tools of KDD. 決策樹、神經網路、Bayesian網路等是當前知識發現的重要工具。
- For example, in a decision tree mining model the viewer will use Cyan to display continuous attributes. 例如,在樹挖掘模型中,查看器將使用青色來顯示連續屬性。
- On the Decision Tree tab, you can examine all the tree models that make up a mining model. 在「決策樹」選項卡上,可以檢查構成挖掘模型的所有樹模型。
- When you build a decision tree model, Analysis Services builds a separate tree for each predictable attribute. 生成決策樹模型時,Analysis Services將為每個可預測屬性生成一個單獨的樹。
- Now there are many methods that has been applied to this field, such as SVM, KNN, Naive Bayes, Decision Tree, etc. 目前已經有許多方法應用到該領域。 如支持向量機方法(SVM)、K近鄰方法(KNN)、樸素貝葉斯方法(Naive Bayes)、決策樹方法(Decision Tree)等等。
- The traditional decision tree category methods(such as:ID3,C4.5) are effective on small data sets. 傳統的決策樹分類方法(如ID3和C4.;5)對於相對小的數據集是很有效的。
- This paper regards decision tree as basic classifier, and introduces the least square technology for linear fusion. 以決策樹作為基本分類器,引入最小二乘技術進行多分類器線性融合。
- One of the best ways to analyze a decision is to use so-called decision trees. 所謂決策樹是進行決策分析的最佳方法之一。
- Two methods for text categorization fuzzy rule extraction are presented based on fuzzy decision tree. 本文提出了兩種基於模糊決策樹的模糊文本分類規則抽取方法。
- Binary decision tree is used to analyze pressing line of vehicles to improve the reliability of the system. 通過二叉決策樹來分析車輛的壓線過程,提高了車流量檢測的可靠性;
- Characteristic Properties of Perspective Sets for Finite Stochastic Decision 有限隨機性決策中展望的特徵性質
- How to construct the Decision Trees with high precision and small size is core. 如何構造精度高、規模小的決策樹是決策樹演算法的核心內容。