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   面向数据挖掘 的翻译结果: 查询用时:0.291秒
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面向数据挖掘
相关语句
  oriented data mining
     Research on Technology of Background Knowledge Representation Oriented Data Mining
     面向数据挖掘的背景知识表示技术研究
短句来源
     The Research on SVM Technology Oriented Data Mining
     面向数据挖掘的支持向量机技术研究
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  “面向数据挖掘”译为未确定词的双语例句
     In this paper, I have designed a data mining query language based on XML and DMPS(Data Mining Application Prototype System) based on the data mining query language, which explored the problem of data mining query language standardlization and reusage of data mining utilities.
     论文提出了一种基于XML的数据挖掘查询语言的设计,并提出了以数据挖掘查询语言为核心的面向数据挖掘应用的原型系统DMPS(Data Mining Application Prototype System),在数据挖掘查询语言标准化和数据挖掘功能可重用方面做出了有益的探索。
短句来源
     The Study of the Data Mining Oriented Method for the Symbolization of Time Series
     面向数据挖掘的时间序列符号化方法研究
短句来源
     Study on Data Mining-oriented Mine Data Warehouse Technology
     面向数据挖掘的矿山数据仓库技术研究
短句来源
     Research and Application of Data Mining Oriented Genetic Algorithm
     面向数据挖掘的遗传算法的研究与应用
短句来源
     Research and Application of Data Minging Oriented Genetic Algorithm
     面向数据挖掘的遗传算法的研究与应用
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  相似匹配句对
     WEB-ORIENTED DATA MINING
     面向Web的数据挖掘
短句来源
     Data Mining technology is oriented to application.
     数据挖掘技术是面向应用的。
短句来源
     Web-based Data Mining Technology
     面向Web的数据挖掘技术
短句来源
     Data mining application in CRM
     面向CRM的数据挖掘应用
短句来源
     Data mining research on tax system
     面向税务系统的数据挖掘
短句来源
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  oriented data mining
We exploit the transitive nature of large item sets and the so called anti-monotonicity property of support thresholds of large item sets to develop a natural least fixpoint operator for set oriented data mining from relational databases.
      
In this article, we are primarily concerned with discovery-oriented data mining.
      
In this paper we describe a visualization oriented data mining tool that can be used for concept training.
      


Prototype selection is an important step in data mining and pattern recognition; it is an efficient way to improve the classification accuracy and running efficiency.This paper proposed a new prototype selection algorithm based on voting mechanism,which could see that most of the selected prototypes are distributed among the classification border and are not outliers.And it is in favor of improving the classification accuracy and efficiency of the nearest neighbor classifier.Experiments on the proposed algorithm...

Prototype selection is an important step in data mining and pattern recognition; it is an efficient way to improve the classification accuracy and running efficiency.This paper proposed a new prototype selection algorithm based on voting mechanism,which could see that most of the selected prototypes are distributed among the classification border and are not outliers.And it is in favor of improving the classification accuracy and efficiency of the nearest neighbor classifier.Experiments on the proposed algorithm and some other famous prototype selection algorithms show the prototype selection algorithm based on voting mechanism has some advantages in improving both the classification accuracy and the data reduction rate.

代表点选择是面向数据挖掘与模式识别的数据预处理的重要内容之一,是提高分类器分类正确率和执行效率的重要途径。提出了一种基于投票机制的代表点选择算法,该算法能使所得到的代表点尽可能分布在类别边界上,且投票选择机制易于排除异常点,减少数据量,从而有利于提高最近邻分类器的分类精度和效率。通过与多个经典的代表点选择算法的实验比较分析,表明所提出的基于投票机制的代表点选择算法在提高最近邻分类器分类精度和数据降低率上都具有一定的优势。

 
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