decision tree analysis 中文意思是什麼
decision tree analysis
解釋
分層次決策分析-
The thesis is based on income question, forest coverage rate and grop production. to beging with, date envelopment analysis is proved that it can be applicated into grain for green in shan - bei district, and then in view of the fact, seven esential factors which have influence on the project are found out : expense of dam, expense of crop, expense of cash tree, expense of defense tree, other economic crop, expense of grass and graziery ; and the output factors include : income of gdp, pure income per captia, the area of decreasing land loss, graziery income, crop production, income of tree, the totle income of economic crop. after the date of each facts are puted into dea model, unefficiencial decision making units ( dmu ) found. the data that are got through adjusting unefficiencial dmus dy dea can offer guide in shanbei district upgrading of an industrial structure. at the same time, taking into account some possible problems in or after grain for green in shan - bei district, the thesis bring out some propesal to improve the circ umstance, enhance the life level and put the relation of population, resource and circumstance into a healthy orbit
因此，加快退耕還林還草，調整土地利用結構和產業結構，已成為實現山川秀美工程和可持續發展戰略的必經之路。論文以解決陜北地區的收入問題，植被問題以及糧食產量問題為出發點，首先從理論上分析了包絡分析方法在陜北地區退耕還林（草）中運用的可行性，然後結合陜北地區目前的實際情況，綜合分析出影響陜北地區退耕還林（草）的關鍵的七個因素作為輸入指標：水利水保設施投入，農作物投入，經濟林種支出，防護林支出，其它經濟作物，草類支出，畜牧業投入；以退耕還林所要解決的最終問題作為輸出指標： gdp收入、農民人均純收入、水土流失減少量、牧業總產值、糧食產量、林業總產值、其他經濟作物總產值。將各指標所對應的數據代入模型后，通過分析求解得出非有效的決策單元，再運用包絡分析方法的一些基本原理對非有效的決策單元進行調整，由此所得的數據對陜北地區的實際投入具有很好的指導意義。 -
( 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。 -
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。 -
It ' s a pity that although there are many papers and articles focused on data mining published every year, most of them deal with data mining concept and abstract algorithm theory, it is hardly to see their real implementation and application, in this context, when i was in my graduate exercitation in a company in beijing, which focus on developing supermarket software, i joined and completed an olap ( online analytical processing ) project, merchandise analysis and sale report system, which based on microsoft analysis service and microsoft sql server. i also design and implement three important algorithms : merchandise association rule algorithm based on multi - level merchandise category, supermarket member customer shopping frequent sequence generating algorithm, customer classification ( decision tree ) algorithm which based on information entropy and conditional probability tree, and they all achieve expected result
本文作者在實習期間，參與並完成了基於微軟分析服務器的銷售分析與報表系統；並在公司即將開始的數據挖掘項目中，完成了多個重要演算法的設計和c + +程序實現：基於多層分類商品樹的商品關聯規則演算法，會員顧客的購物頻繁序列模式產生演算法；基於信息熵理論和條件概率樹的會員顧客分類（決策樹）演算法，並分別使用數據進行了測試，取得了較好的結果。 -
Uncertain decision approaches consist certainty equivalent approach, risk adjusted discount rate approach, sensitivity analysis and decision tree analysis
不確定性決策方法包括肯定當量法、風險調整貼現率法、敏感性分析法和決策樹法。 -
After analyzed the defaults of the fault dictionary method, several techniques to enhance the capability of the d. c. fault dictionary are presented. these include 1 ) using monte carlo analysis to get the node voltage tolerance, 2 ) using bayesian decision theory to direct the fuzzy set dividing, 3 ) selecting nodes by the fuzzy sets, 4 ) using the fault tree to diagnose the circuit ' s fault with varied sum of nodes
文中分析了字典法存在的問題，提出了改進方法，其中包括：用蒙特卡羅法求各節點電壓的容差域；用貝葉斯決策理論來指導模糊集劃分；以模糊集為特徵進行節點優選；依故障診斷樹進行變節點診斷。 -
It also studies the problem of real option pricing when the underlying assets follow the pure jump poisson, mixed jump - diffusion merton and mean - reversion model, and obtains the price formula or partial differential equation to price and hedge the real option. when the value of real option can not separate from the value of project, or the uncertainties are endogenous to real option holder, it is difficult to pricing the real option by the ways of no - arbitrage. in this paper we present a approach named valuation with comparison, its basic point is to value the project or program with flexibility by means of decision tree analysis ( dta ) and stochastic dynamic programming ( sdp ), and the results are compared with that of non - flexibility, finally,
當實物期權的價值不能從項目價值中分離出來，或者影響基本資產價格的不確定性內生於期權的持有者時，此時實物期權的價值一般難以直接利用無套利方法得到，本文通過對現有文獻進行歸納，提出一種比較定價法，其基本要點是利用決策樹、動態規劃法或二叉樹模型等技術來確定嵌有柔性的項目或方案的價值，然後將其與沒有柔性的項目或方案進行比較，從而獲得各種柔性的價值，作為這種方法的一個應用，本文研究了柔性勞動合約的設計與定價問題，研究表明，對企業重要員工採用長期勞動合約，而對一般員工採用短期合約可以節約勞動力使用成本。 -
Hypothesis by helton and strassman can also been proved when exploring the position characteristics. the 8 basic indexes can be further condensed into 2 main factors, which leads to a 2 mensioned grid that categorizes all positions into 4 different groups. in research, decision tree analysis is also assumed as an innovation in future data processing and knowledge discovery work, in order to make out a suitable way to large - scope questionnaire investigation and productivity research
摘要三、實證分析方面，用聚類法和因子分析法判斷各崗位的知識含量與基本符合經驗判斷;對崗位的各方面特性進行的對比，驗證了helton和strassman的工作指標區域分類設想;將8個一級指標繼續歸為知識技能指標和本身特徵指標兩個主因子，根據二維方格圖，將崗位劃分為四類。 -
This paper analyzes and develops the existing risk analysis model bases on term rewriting system. it divides the group of assets into critical and normal subset, and performs the analysis in separate procedure. this reduces the system complexity, guarantee the priority of the critical assets ; it also introduces and / or attack tree into the attack scenario, cut down the system requirement of space, and provides support for both the coming graph rewriting model and decision selection algorithm
本文針對項重寫風險分析模型中資產的關鍵性級別，劃分出關鍵資產，通過分步的風險分析，實現不僅可以降低系統復雜度，還能有效保證關鍵資產的優先處理;引入了與或攻擊樹構建攻擊場景，節約了運行所需的空間，為后來的決策選擇打下基礎，同時也為以後的圖重寫的風險分析提供依據。 -
( 2 ) in bidding stage qualitative and quantitative analysis shall be applied for risk analysis, including methods of expert scoring, decision tree, expected loss, hierarchy analysis, and fuzzy evaluation. which are applicable for analysis and evaluation of various risks during bidding period of the project
（ 2 ）投標階段中風險分析採用定性與定量相結合的思路方法，運用了專家打分法、決策樹方法、期望損失法、層次分析法、模糊評價法。對項目的投標過程各風險因素的分析和評價都具有一定的應用價值。 -
After introduce several methods about risk assessment, such as. decision - making analysis method, probability risk assessment using event tree and fault tree. construction reliability, the risk assessment that embodiment stress - strengthen interference models, we explain the method that used in the paper in detail
在簡要介紹常見的幾種常用風險評價方法，如：決策分析、失效模式影響及評價，概率風險評估、概率結構力學和結構可靠性分析的基礎上，詳細討論的本文所採用的模糊綜合評判方法的理論基礎及技術路線。 -
To properly make projects appraisal, staged investments analysis & intangible assets pricing involved in investments under uncertainty, this thesis, based on the real options thinking, sets up the notion models employing the decision - making tree analysis and the mathematical models by relative comparison and cash - flow analysis. cases are also included in the analyzing process. the main results are as the following
本論文以實物期權思想為基礎，針對不確定性投資決策過程中的項目評價、階段性預算分析和無形資產定價三類問題，運用決策樹分析方法構造概念模型，綜合相對比較法和現金流分析構造數學模型，並結合算例進行評價分析，主要取得如下研究結果： 1 -
Tt _ dtc realizes a series of processes including data preprocess, decision tree classification, producing rules and prediction analysis, which based on the data of train tickets and aimed at the characters of tram tickets which have large amount of data and complex attributes
Tt _ dtc方法以鐵路客票數據為基礎，以鐵路客票營銷分析為目的，針對鐵路客票信息數據量大、屬性復雜、域值廣等特點，實現了從數據預處理、決策樹生成到規則提取、知識產生等一系列過程。 -
Cet - 4 grade performance analysis based on decision tree
基於決策樹的英語四級成績分析 -
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 -
Based on the reality of commercial banks in china at present, a credit risk assessment model is built based on the analysis frame of decision tree c4. 5 algorithm
摘要結合我國商業銀行的實際，基於數據挖掘中決策樹c4 . 5演算法的分析框架建立了商業銀行的信用風險評估模型，通過此模型可以根據貸款企業的財務指標，得出企業是否違約的分類。 -
This thesis also provides an in - depth analysis of neural network and decision tree to find out their respective merits and drawbacks, and performs a research on the superiority of the combination of these two technologies
文章對神經網路和決策樹技術進行了深入的分析，研究其各自的優缺點，並分析了將這兩種技術結合在一起的可能性及優勢。 -
With rich data hi tram tickets system, how to mine useful knowledge is an important problem. applying the technology of classification hi train tickets analysis, we construct a new classification method tt _ dtc ( decision tree classification based on train tickets ). we apply new classification algorithm sf _ dt ( decision tree classification algorithm based on splitting files ) that bases on splitting files and quantity rules, which aimed at the characters of train tickets
本文將數據挖掘中的分類技術用於鐵路客票營銷分析中的客票分類，形成了一種新的分類方法tt _ dtc （ decisiontreeclassificationbasedontraintickets ） ，該方法針對鐵路客票的實際特點，採用新的基於文件分割和定量規則的決策樹分類演算法sf _ dt （ decisiontreeclassificationalgorithmbasedonsplittingfiles ）對客票數據進行分析，以達到依據客票屬性特徵對客票發售及列車運營情況進行分類及預測的目的。 -
After successful construction of data warehouse system, this thesis crossly applies several theories to combine technologies of neural network and decision tree. thus a model of the analysis of customer chum is built to solve the emerging problem of customer churn from mobile communication companies
在成功構建數據倉庫系統之後，針對移動通信行業日益突出的客戶流失問題，本文採用了多種理論相互融合的思想，將神經網路和決策樹技術相結合，構建客戶流失分析模型。
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