decision tree analysis
英 [dɪˈsɪʒn triː əˈnæləsɪs]
美 [dɪˈsɪʒn triː əˈnæləsɪs]
决策树分析
双语例句
- As a perfect quantitative analysis method the decision tree analysis method is practicable and simple and realize scientific decision in bid invitation. Seeing Science in Multidimension;
证明了决策树法作为成熟的定量分析方法，简单可行，易于操作，增加了招投标决策工作的科学性。 - Application of Discriminant Analysis and Decision Tree Analysis to the Classification of Ecological Hazards of Chemicals
判别分析与决策树分析在化学物质生态危害分类中的应用 - The Application of Decision Tree to the Analysis of the Enterprise Investment Risk
决策树分析法在企业投资决策风险分析中的运用 - Another example is non-numerical decision tree analysis.
另一个例子是非数值决策树分析。 - Application of Decision-tree in Analysis of Financial Report
决策树在财务报表分析中的应用 - 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.
针对数据采集及分析的具体情况，提出了运用决策树分析进行岗位知识含量特征发现的构想，为适应大规模调查和分析方法的改进，从而深入研究知识员工生产率问题指出了一条途径。 - Application of decision tree classifier to analysis of gene microarray data
决策树分类器在分析基因微阵列数据中的应用 - Uncertain decision approaches consist certainty equivalent approach, risk adjusted discount rate approach, sensitivity analysis and decision tree analysis.
不确定性决策方法包括肯定当量法、风险调整贴现率法、敏感性分析法和决策树法。 - Decision Tree Analysis of Immunosuppressive Therapy After Renal Transplantation
肾移植免疫抑制治疗方案的决策树分析 - The decision tree and protocol analysis are introduced in this paper, and a set of scheme about how to apply decision tree into protocol analysis are presented and specified in detail, so base of trait identify research in content security integrated system is founded.
介绍了决策树和协议分析技术，提出了一整套如何将决策树应用于协议分析的完整方案，并进行了详细阐述，为内容安全集成系统中的特征识别研究打下了基础。 - Conclusion To analyze the correlations between diagnostic information and therapeutic efficacy with decision tree analysis is conformed to the theory of TCM in applying treatment according to syndrome differentiation individually, thus it would contribute to elevate the accuracy of therapy.
结论利用决策树分析方法分析证病信息与中西医疗法疗效的关系，符合中医辨证论治个体化诊疗思想，有利于提高治疗方案使用的针对性。 - Traditionally, we solve a general Bayesian decision problem by using the decision tree analysis method.
对一般的贝叶斯决策问题，常用的求解手段是决策树分析方法。 - This paper compares and analyses data mining algorithm, discusses decision tree arithmetic and clustering analysis importantly and produces intelligence decision tree algorithm that remedy the shortage of general decision tree.
本文对各种数据挖掘算法进行了详细的比较、分析，针对电力营销的特点，重点讨论了决策树算法和聚类分析，并根据实际需要提出了能有效弥补一般决策树不足的智能决策树算法。 - Objective To explore the correlations between diagnostic information and therapeutic efficacy in rheumatoid arthritis ( RA) with decision tree model analysis.
目的利用决策树模型分析方法探索类风湿性关节炎（Rheumatoidarthritis，RA）证候疾病信息与疗效的关系。 - The Application of Decision Tree Analysis in the Teaching Practice of Medical Information Management
决策树分析在医学信息管理教学实践中的应用 - 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.
针对冰箱产品故障信息的缺陷，通过聚类分析，并按决策树算法对产品故障进行研究，得出令生产部门满意故障信息报表。 - The application of decision tree analysis in bidding
决策树法在投标中的应用 - Application of Decision Tree In Protocol Analysis
决策树在协议分析中的应用 - The improvement of intrusion detection by using decision tree based on protocol analysis
用决策树改进基于协议分析的入侵检测技术 - The basic principles of data mining technique, visual data mining technique, OLAP and data warehouse are presented. Decision tree and cluster analysis in the SQL Server 2000 are highlighted.
分析了数据挖掘技术、可视化数据挖掘技术、OLAP以及数据仓库的基本原理，并对SqlServer2000中决策树、聚类分析的数据挖掘算法作了重点分析。 - Then introduced the data mining methods needed for bibliographic recommendation in detail: cluster analysis, association rules analysis method, decision tree analysis method, and choose the most suitable algorithm for each kind of data mining method.
然后详细的介绍进行书目推荐的数据挖掘方法：聚类分析方法、关联规则分析方法、决策树分析方法，选取每种数据挖掘方法中最适合的算法。 - Then, through the common technique of data mining, data mining process, data mining, decision tree and neural network analysis techniques.
其次，利用使用数据挖掘的最常用技术，数据挖掘过程，数据挖掘过程中决策树算法应用。 - The association results for the standard cases of selected syndromes re-determine, based on this decision tree analysis, combined with clinical expertise in condensed form syndromes, constitute a factor in determining the status syndrome.
以关联结果为标准，对入选病例重新进行证候判定，在此基础上进行决策树分析，结合临床专家意见以凝炼证候构成、确定证候构成因子的地位。 - At the same time, the judgement of decision tree analysis, design of the hierarchical structure of the neural network classifiers, and through improved learning algorithms, neural network structure greatly accelerated the rate of neural network training to improve the identification of the correct rate.
同时通过决策树判决的分析，设计了分层结构的神经网络分类器，并通过改进学习算法、神经网络结构等大大加快了神经网络的训练速度，提高了识别的正确率。 - Thus this article can provide a useful reference for the decision tree model used to analysis how to save the cost of the diagnosis of a medical disease, and so has some practical significance.
从而，本文为用决策树模型分析如何节省医疗诊断费用的问题提供了有益地参考，具有一定的实际意义。 - Among them, implementing the decision tree analysis method is a first attempt in book recommendation service.
其中，引入决策树分析方法是图书推荐服务的首次尝试。 - Selected for the bank sector credit data for the analysis of decision tree analysis methods, and then combined with the specific situation of the bank sector to explore the establishment of decision tree analysis of credit risk monitoring system is feasible.
选取了适合银行业信贷数据分析的决策树分析方法，然后结合银行业的具体情况，探讨建立决策树分析方法的信贷风险监管系统的可行性。 - For the risk management, it gets two levels of risk factor by applying the brainstorming and Delphi technique, and then assesses the risk through risk quantification matrix for qualitative risk analysis and decision tree for quantitative risk analysis.
针对风险管理部分，采用头脑风暴法和专家调查法，得出两级风险因子。使用风险量化矩阵定性风险分析和决策树方法定量风险分析帮助风险评估。 - This paper aims at different analysis function respectively and adopted using bayes, relational analysis, decision tree analysis, cluster analysis and so on to the data mining and carries on analysis to information of register and books. 3.
针对不同分析功能分别采用了基于贝叶斯、决策树、聚类分析、关联规则、时序、神经网络、线形回归等多策略挖掘模型，对注册会员的信息和图书信息进行分析。