片语

kdd特性kdd property

kdd algorithmkdd算法

KDD Corporation申请人

kdd definitionkdd定义

kdd procedurekdd过程

kdd算法kdd algorithm

KDD systemKDD系统

web kddweb知识发现

kdd techniqueskdd技术

英汉例句

• Rough set data analysis in the knowledge discovery in database (KDD) is different to other KDD methods, especially with respect to model assumption.

  粗集数据分析不同于其它知识发现方法，特别在模型假设方面的一种方法。

• KDD and data mining was used in agriculture, but for the characteristics of agriculture area, normal data mining methods can「t apply efficiently.

  KDD和数据挖掘技术在农业中得到应用，由于农业领域本身的特点，通常的数据挖掘技术得不到有效应用。

• This article introduces the KDD activity the request that launch, and puts great emphasis on its characteristic and value by technique processing.

  介绍了数据库知识发现(KDD)活动的展开要求，着重从它的技术处理流程来分析它的特性及其存在价值与意义。

• This fully shows the important influence of inner mechanism on the KDD mainstream development, and provides a new path for the research of the whole knowledge discovery system.

  它充分显示了内在机理研究对KDD主流发展的重要作用与影响，并为整个知识发现系统的研究提供了一条全新的路径。

• In this paper, the authors proposes a failure diagnostic tree and knowledge evolutionary patterns for the vehicle」s failure diagnosis using KDD in large scale databases.

  论文提出了在大型数据库中，为飞行器故障诊断的KDD故障诊断树和知识演变模式。

• To improve the efficiently of the system, design patterns are used to optimize system「s performance, so the target of mining the customer information by KDD technology is realized.

  为了提高系统的运行效率，本文还对系统使用的设计模式进行优化，从而达到了有效利用知识发现技术进行客户资料分析的目的。

• Applying KDD (Knowledge Discovery in Databases) technology in data analysis is helpful to improve data-analysis ability and productivity in photosensitive materials enterprises.

  应用KDD技术进行数据分析，对于提高感光材料企业数据分析水平和生产效率具有积极意义。

• The KDD model based on the granularity and concept lattice is proposed at last.

  最后提出一种基于粒度和概念格的知识发现模型。

• In financial, KDD is mainly used to analysis the custom relationship management. There hasn」t many KDD method to be used in transaction data.

  KDD技术在金融领域应用，主要集中在客户关系分析与管理方面，对交易数据的挖掘还不多见。

• Based on the character of data and knowledge of the field, contrastive analysis in normal KDD technology is expounded in this paper.

  本文根据感光材料领域数据和知识特点，对常用的KDD技术进行了分析比较。

• The development of the government decision support system based on KDD can provide the data support for the government to make more rational and scientific decisions.

  基于知识发现的政府决策支持系统的开发能够为政府做出更合理、更科学的决策提供数据支持。

• Some methods for dividing continuous attributes in KDD (knowledge discovery in database) and a method based on VDM (value difference metric) are presented.

  介绍了在数据库知识发现(KDD)中将连续属性离散化的一些方法，并提出使用值差分度量离散化的算法。

• The simulations on the KDD CUP99 dataset show that the detection rate of known attacks and unknown attacks and the false positive rate of this algorithm are excellent.

  在KDD CUP99数据集中进行了对比仿真实验，实验结果表明算法对已知攻击和未知攻击的检测率以及算法的误警率都是理想的。

• After analyzing the principle and flow of the arithmetic, application in tobacco sensory evaluation for KDD is achieved.

  在分析了该算法的原理、流程之后，将其应用在卷烟的感觉评估领域，实现了烟草数据知识发现。

• Results of the experiment using KDD 99 indicate the effectiveness of the algorithm.

  采用KDD 99数据集进行试验，验证了该算法的有效性。

• This paper discusses the essential concepts, the procedure of Mining Association Rules, an active field in KDD (Knowledge Discovery in Database), as well as the open problems faced in this field.

  围绕KDD的一个重要发现任务——关联规则发现，介绍了这一领域基本概念、处理技术以及面临的问题。

• This article mainly introduced the background, the definition, the processes and the application prospect of KDD technology.

  本文主要介绍了KDD技术的产生背景、定义、处理过程及其应用前景。

• KDD is a newly emerging and multi-disciplinary field of research; machine learning, statistics, database technology, expert systems and data visualization all make a contribution.

  KDD是一门新兴的交叉学科，主要涉及机器学习、统计学、数据库、专家系统以及数据可视化等多个学科领域。

• KDD CUP '99 is adopted in experiment and the result shows the model gets the lower false negative rate and false positive rate besides the higher accuracy.

  采用KDD CUP99数据集进行测试实验，结果表明：该模型能够获得较高的检测正确率，同时具有较低的漏报率及误报率。