decision tree method 中文意思是什麼
decision tree method
解釋
決策樹法-
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。 -
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。 -
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。 -
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 -
A model of spatial decision support system based on spatial data mining was established after making research on application and integration of spatial data mining, " 3s " technology and environment model, which include designing of data base, knowledge base, model base and their management system, inference engine and intelligent data mining engine ; 2. a model using artificial neural networks to forecast in coast environment in fujian was established, and a method applying multivariate decision tree to remote sensing classification was presented ; 3. a novel and shortcut method realizing artificial neural networks was presented, and then we put forward method realizing decision tree and realized it in prototype
論文的主要內容概括起來有： （ 1 ）對空間數據挖掘技術、 「 3s 」技術、環境模型在空間決策支持系統中的應用與集成進行了研究，提出了一種基於空間數據挖掘的環境調控空間決策支持系統的模型，包括模型庫及其管理系統、知識庫及其管理系統、數據庫及其管理系統、推理機以及數據挖掘智能引擎等的設計； （ 2 ）建立了人工神經網路在福建省海岸帶環境預測中應用的模型，提出了復合決策樹演算法在遙感分類的應用方法； （ 3 ）提出一種新穎的、簡便快捷的人工神經網路的實現方法，以及決策樹的實現方法，並在原型系統中作了實現。 -
The method is better than others. firstly, the system sets up several models to assist detection work, such as road model, illumination model, shadow model and relationship model among them ; secondly, it introduces hue. saturation degree information to distinguish vehicles from shadow ; thirdly, it makes use of binary decision tree to analyze pressing line of vehicles to improve the reliability of the system ; fourthly, it puts forward a way of one dimension video tracing to resolve the problem of vehicle velocity detection
該方法通過設置在每條車道中的兩條相互垂直的虛擬檢測線來檢測交通流信息（如車流量、車速等） ；設計一種彩色分段檢測技術來提取運動車輛的尺寸信息和色彩信息，再利用分類決策樹和濾波演算法確定運動車輛存在與否，增強了車輛、陰影、噪聲和背景之間的區分能力；設計了一種車速視頻檢測方法。 -
Followed by the rapid extension of data size, the usage of parallel technology is a very important method to improve the efficiency of data ming. sliq uses novel pre - sorting and breadth - first techniques to build a decision tree fast and accurately on a large data set, and can deal both categorical and numeric attributes. but the primary algorithm contains the abundant computing on attribute and record
本文首先分析了串列sliq演算法的原理和特點，針對其不足提出了一些改進方法，然後在基於pvm的環境下實現了演算法的并行化，分析了演算法的時間復雜度和加速比，提高了sliq演算法的效率，具有一定的理論意義和實用價值。 -
This paper introduces the decision tree method for classification
本文研究如何用決策樹方法進行分類模式挖掘。 -
Application of the decision tree method to ship ' s formal safety assessment
決策樹方法在船舶綜合安全評估中的應用 -
Improved decision tree method for mid - long term load forecasting of power system
電力系統中長期負荷預測的改進決策樹演算法 -
The second chapter mainly analyzes data mining. select decision tree method to realize after learning data mining concept, model and classification
首先介紹了數據挖掘技術的概念、模型以及分類，經過分析，決定選取決策樹方法來具體實現。 -
Based on the decision tree method of the portfolio investment, in chapter 4, the thesis proposes the improved decision tree method, and discusses how to use this method to select and rank the alternatives of the portfolio investment
第四章以證券組合投資問題的傳統決策樹方法為基礎，提出了一種改進的決策樹求解方法，並對證券組合投資問題的決策方案進行了選擇和排序 -
Data mining is defined as the nontrivial extraction of implicit, previously unknown, and potentially useful information from data or known as knowledge - discovery in databases ( kdd ). to do this, data mining uses computational techniques from statistics, machine learning and pattern recognition such as discriminate analysis, regression method, mathematical programming, decision tree, k - nearest neighbor, artificial neural network etc. although many positive attempts are done, the development and application of personal credit assessment model in chinese bank industry is still in its infancy
數據挖掘是20世紀90年代後期人工智慧和數據庫領域興起的一種數據處理和知識發現（ kdd ）理論，是從大量的、不完全的、有噪聲的、模糊的和隨機的實際應用數據中，提取隱含在其中的信息和知識的過程。對數據進行分類和預測是數據挖掘的主要功能。數據挖掘用於信用評估的優勢主要在於: （ 1 ）能處理和修正實際數據問題，演算法模型具有自檢 -
In the execution process of data mining, the author reduces the dimensions with the method of neural network learning and produce rule sets with the method of decision tree learning
在實施數據挖掘過程中，根據神經網路和決策樹方法各自固有的優點，將神經網路運用於屬性的規約，而將決策樹用於產生規則模型。 -
Firstly, some basic algorithms for inducing decision tree are discussed, including id3, which uses information gain to select a splitting attribute when partitioning a training set ; c4. 5, which can deal with numeric attributes ; cart, which uses gini rule in attribute selection and induces a binary tree ; public, which puts tree pruning in the tree building phase ; interactive method, which puts artificial intelligence and human - computer interaction into the procedure of decision tree induction ; as well as sliq and sprint which are scalable and can be easily parallelized. advantages and disadvantages of these algorithms are also presented
文中詳細闡述了幾種極具代表性的決策樹演算法：包括使用信息熵原理分割樣本集的id3演算法；可以處理連續屬性和屬性值空缺樣本的c4 . 5演算法；依據gini系數尋找最佳分割並生成二叉決策樹的cart演算法；將樹剪枝融入到建樹過程中的public演算法；在決策樹生成過程中加入人工智慧和人為干預的基於人機交互的決策樹生成方法；以及突破主存容量限制，具有良好的伸縮性和并行性的sliq和sprint演算法。 -
In our research, variation of contour line is used for describing the characteristics of image structure. using teacher images and machine learning method, an image direction classification model is built as a decision tree. test results argued the validity of this method
本課題使用圖像輪廓線向量特徵來反映圖像的構圖特徵，通過教師實例獲得用戶的方向分類概念，然後利用決策樹的學習建立分類模型，並且在此分類模型的基礎上實現了一個圖像正立方向判別系統。 -
In this paper, we implement an improved method based on decision tree on a specific problem of simulated local - area network on which a network intrusion detector is built
文章針對一個局域網上模擬的入侵檢測問題，描述了對利用決策樹方法學習的一種優化實現。 -
This paper first illustrated some typical algorithms for large dataset, then gave off a processing diagram in common use second, for the dataset with large quantity and many attributes, we renovated the calculation method of the attribute ' s statistic information, giving off a ameliorated algorithm this thesis consists of five sections chapter one depicts the background knowledge and illustrates the position of data mining among many concepts also here is the data mining ' s category chapter two describes the thought of classification data mining technique, puts forward the construction and pruning algorithms of decision tree classifier chapter three discusses the problems of adapting data mining technique with large scale dataset, and demonstrates some feasible process stepso also here we touches upon the combination r - dbms data warehouse chapter four is the design of the program and some result chapter five gives the annotation the conclusion, and the arrangement of future research
本論文的組織結構為：第一章為引言，作背景知識介紹，摘要闡述了數據挖掘在企業知識管理、泱策支持中的定位，以及數據挖掘的結構、分類；第二章講述了分類數據挖掘的思路，重點講解了泱策樹分類器的構建、修剪，第三章針對大規模數據對數據挖掘技術的影響做了講解，提出了可採取的相應的處理手段，以及與關系數據庫、數據倉庫結合的問題；第四章給出了論文程序的框架、流程設計，以及幾個關鍵問題的設計；第五章對提出的設計進行簡要的評述，做論文總結，並對進一步的研究進行了規劃。
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