decision tree 中文意思是什麼
decision tree
解釋
決策樹圖-
On the basis of analyzing the classification principle of decision tree classifier and parallelpiped classifier, a new classification method based on normalized euclidian distance, called wmdc ( weighted minimum distance classifier ), was proposed
通過分析多重限制分類器和決策樹分類器的分類原則，提出了基於標準化歐式距離的加權最小距離分類器。 -
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。 -
A context - dependent polyphone disambiguation technology was proposed, combined with the decision tree and maximum entropy methods, the accuracy can be improved to 99. 82 %
採取結合上下文信息及語法信息的多音字消歧技術，利用決策樹和最大熵等模式識別方法，使注音正確率達到99 . 82 % 。 -
( 3 ) for the product failures of the refrigeratory, research the algorithm of product policy decision tree and clustering analysis, resulting in a satisfactory failure information report for manufacture departments
（ 3 ）針對冰箱產品故障信息的缺陷，通過聚類分析，並按決策樹演算法對產品故障進行研究，得出令生產部門滿意故障信息報表。 -
According to the assessment & acceptance management characteristics and demands of s & t project in china, this paper discusses and builds the index system of s & t project assessment & acceptance, depicts the stage assessment & acceptance methods, and then constructs the decision model based on c4. 5 decision tree method
根據我國目前科技項目驗收評估管理的特點和要求，討論並建立了科技項目驗收評估的指標體系，闡述了分階段的科技項目驗收評估方法，建立了基於c4 . 5決策樹科技項目驗收評估決策模型。 -
Compared with the classical model of decision tree, this model has more excellences such as being easy to build the model and to expand, a great capability of fault tolerance
通過與經典的決策樹分類模型進行比較，本文分類方案具有建模簡單、擴展性好、容錯能力強等優點。 -
Decision tree arithmetic can easily create an if - then expression. its accuracy can be estimated by k - fold cross - validation
決策樹演算法的最大優點是能夠很容易地產生出if - then表達式。 -
Developing from the typical decision tree learning system ids and using the idea of weight sum, we did exploring research on the application of decision tree technology, using weight entropy to get predicted attribute and division value, in crm of tourism industry
在典型的決策樹學習系統id3之上，利用「加權和」的思想，在對決策樹技術（使用加權熵來獲得預測屬性和分裂值）在旅遊crm中應用上作了探索性研究。 -
Network forensics is an important extension to present security infrastructure, and is becoming the research focus of forensic investigators and network security researchers. however many challenges still exist in conducting network forensics : the sheer amount of data generated by the network ; the comprehensibility of evidences extracted from collected data ; the efficiency of evidence analysis methods, etc. against above challenges, by taking the advantage of both the great learning capability and the comprehensibility of the analyzed results of decision tree technology and fuzzy logic, the researcher develops a fuzzy decision tree based network forensics system to aid an investigator in analyzing computer crime in network environments and automatically extract digital evidence. at the end of the paper, the experimental comparison results between our proposed method and other popular methods are presented. experimental results show that the system can classify most kinds of events ( 91. 16 ? correct classification rate on average ), provide analyzed and comprehensible information for a forensic expert and automate or semi - automate the process of forensic analysis
網路取證是對現有網路安全體系的必要擴展，已日益成為研究的重點.但目前在進行網路取證時仍存在很多挑戰:如網路產生的海量數據;從已收集數據中提取的證據的可理解性;證據分析方法的有效性等.針對上述問題，利用模糊決策樹技術強大的學習能力及其分析結果的易理解性，開發了一種基於模糊決策樹的網路取證分析系統，以協助網路取證人員在網路環境下對計算機犯罪事件進行取證分析.給出了該方法的實驗結果以及與現有方法的對照分析結果.實驗結果表明，該系統可以對大多數網路事件進行識別（平均正確分類率為91 . 16 ? ） ，能為網路取證人員提供可理解的信息，協助取證人員進行快速高效的證據分析 -
Multi - strategy means as follows : utilizing classifying data mining methods based on decision tree to analyze the data in grade database. a grade decision tree is generated to show directly a position of grade according to different computing methods and to support estimate. at the same time, utilizing classification method based on summing - up principles to do such things as grade query analysis and prediction and contrast analysis to realise automatic generation of grade analysis report, test paper ’ s quality assessment report and quality analysis table which plays an active role in improving teaching and test paper ’ s quality
這里多策略主要是指:採用基於決策樹的分類挖掘方法，對學生成績庫中數據進行分析，生成學生成績決策樹，能直觀顯示出某一成績在不同等級計算方式中所處的位置，為教學部門提供評價信息;同時採用基於總結規則的統計分析方法，完成不同情況下的成績查詢、預測及對比分析，實現學生成績分析報告、試卷質量評價報告及質量分析表的自動生成。 -
Recognition of handwritten digital by using decision tree based on hiberarchy decomposition
基於層次分解決策樹的手寫體數字識別 -
Result : the decision tree consisted of multiple levels of branches and color blocks to present the output and the sequence of information gathered ( e. g., length of stay > disease classification > mode of departure from the hospital > triage > medical specific ) and reflected the degree to which the distribution of medical expenses were influenced
結果：決策樹以多層次之樹枝分佈及顏色區塊等視覺化方式呈現研究結果；其中資訊增益順序為（滯留時間疾病分類離院后動向檢傷分級科別） ，該資訊增益之順序也代表屬性影響醫療費用分佈之程度，意即滯留時間為決定急診病色醫療費用多寡之首要因素。 -
A decision tree is composed of a series of splits, with the most important split, as determined by the algorithm, at the left of the viewer in the
決策樹由一系列拆分組成，最重要的拆分由演算法確定，位於 -
Application of decision tree in teaching appraisal
決策樹演算法在高校教學評價系統中的應用 -
The microsoft time series algorithm uses a linear regression decision tree approach to analyze time - related data, such as monthly sales data or yearly profits
Microsoft時序演算法使用線性回歸決策樹方法來分析與時間相關的數據，例如，月銷售額數據或年利潤。 -
Rules extraction method of decision tree based on new conditional entropy
基於新的條件熵的決策樹規則提取方法 -
Decision tree classification algorithm based on bayesian method
基於貝葉斯方法的決策樹分類演算法 -
In this paper, the decision tree classify algorithm is choosed as the emphasis
選取決策樹分類演算法為研究重點。 -
This paper is a study on decision tree classification algorithms, which mainly includes two parts
本文主要對決策樹分類演算法展開研究，主要包含兩個內容： 1 -
The traditional decision tree category methods ( such as : id3, c4. 5 ) are effective on small data sets
摘要傳統的決策樹分類方法（如id3和c4 . 5 ）對于相對小的數據集是很有效的。
分享友人