英语单词

KDD的中文翻译

KDD

英[] 美[]
  • abbr. 国际电信电话公司(Kokusai Denshin Denwa Company)

双语例句


1. Now, there are many KDD systems applied in CRM.
目前,在CRM中使用的知识发现系统很多。

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2. In general, the concept of data mining is the same as that of KDD.
在一般意义下,数据挖掘与知识发现的概念一致。

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3. Two kinds of data set from KDD CUP1999 data set are filtered in the paper.
本文通过实验来评估改进算法应用于入侵检测中的性能,其实验数据来源于KDDCUP1999 数据集。

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4. 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。

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5. 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。

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6. This paper introduces an active idea into KDD and discusses its design and implementation.
介绍了一种主动式KDD系统的思想及其设计与实现。

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7. Along with the deepening of research on KDD, the application of KDD has become very broad.
随着KDD技术研究的不断深入,KDD的应用领域也越来越广泛。

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8. In the data integration stage of KDD, data discretization is one of the most important jobs.
在KDD的数据集成阶段,数据离散化是其中一件非常重要的工作。

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9. Bayesian network classifier is one of the main research methods in data mining and KDD domain.
贝叶斯网络分类器是数据挖掘与知识发现领域研究的主要方法之一。

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10. Preprocessing is a key step of KDD. Favorable preprocessing can improve efficiency of data mining.
数据预处理是KDD的关键一步,良好的数据预处理可以极大地提高数据挖掘的效率。

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11. However, some model based on KDD technology is more complicated or needs certain field knowledge, which is subjective.
但是,有的知识发现技术建立的模型要么比较复杂,要么需要一定的先验知识、具有主观性。

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12. 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。

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13. 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。

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14. In the end, the author discusses the application of automatic abstracting in the KDD (Knowledge Discovery from the Data) field.
本文在最后还探讨了自动文摘在“知识发现”和文本信息挖掘领域内的初步应用。

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15. Fuzzy cluster is one of the branches of knowledge discovery in database (KDD). And neural network is a good tool for clustering.
模糊聚类是目前知识发现(KDD)领域中的研究分支之一,而神经网络是用于聚类的良好工具。

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16. 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。

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17. One of the important research branches in KDD is the association rules mining. It is therefore significant to investigate this problem.
关联规则的挖掘是知识发现领域重要的研究方向之一,因此开展这方面的研究是很有意义的。

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18. So in facing of challenge of "Much data, but little information", there come Data Mining (DM) and Knowledge Discovery in Database (KDD).
因此,面对“数据丰富,但信息贫乏”的挑战,数据挖掘和知识发现技术应运而生。

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19. Both online analytical processing (OLAP) and knowledge discovery in database (KDD) are advanced modes of information resources exploitation.
数据的在线分析与知识发现是开发信息资源的高级形式。

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20. 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。

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21. Test with the data KDD CUP 1999 is conducted and experiment show that, the improved algorithm can enhance the efficiency of data classification.
并对改进后的算法在KDD CUP 1999数据集上进行了实验。实验证明,改进后的算法能有效提高分类性能和效率。

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22. 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。

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23. 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。

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24. 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。

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25. 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。

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26. Rough set theory is one of the most prosperous tools and theories that have already been successfully applied to resolve some specific problems in KDD process.
众多的理论和工具都已经成功地应用于解决KDD过程中的某些具体问题,粗集理论是其中最具发展前景的工具之一。

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27. Rough set theory is one of the most prosperous tools and theories that have already been successfully applied to resolve some specific problems in KDD process.
众多的理论和工具都已经成功地应用于解决KDD过程中的某些具体问题,粗集理论是其中最具发展前景的工具之一。

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