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attributes reduction
相关语句
  属性约简
     Firstly, a new attributes reduction strategy (ARS) is discussed.
     首先,提出一种新型的属性约简策略ARS(Attributes Reduction Strategy)。
短句来源
     Attributes Reduction of Fuzzy Information Systems
     Fuzzy信息系统的属性约简
     An Algorithm of Attributes Reduction in Decision Table Based on the Approximation Classified Quality
     基于近似分类质量的决策表属性约简算法
短句来源
     Rough Set Extended Model and Attributes Reduction in Incomplete Information Systems
     不完备信息系统的粗集扩展模型及属性约简
短句来源
     An Algorithm for Attributes Reduction Based on the Genetic Algorithm
     一种基于遗传算法的属性约简算法
短句来源
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  属性简约
     Research of Attributes Reduction Based on Rough Set
     基于Rough集理论的属性简约研究
短句来源
     Two real world databases are tested, showing the validity of the entropy based attributes reduction algorithms.
     最后对两个实际数据库进行了测试,结果表明了所提出的基于熵的属性简约算法的有效性。
短句来源
     Rough set theory is a tool for studying uncertain knowledge. This paper discusses the basic concept of rough set and studies the attributes reduction based on it. Rough probability model is introduced to mine the statistical information hidden in the information table.
     粗糙集理论是一种研究不确定性知识的工具,该文从Rough集理论的基本概念出发,对基于Rough集的信息系统决策表的属性简约问题进行了研究,挖掘出隐藏于信息表中的统计信息。
短句来源
     The paper studies attributes reduction based on rough set. As an important tool for measuring information capacities,entropy is applied in attribute importance and makes this concept more perfect.
     该文对Rough集属性重要性在属性简约中的应用进行了研究,研究发现熵作为一种衡量信息量的重要工具,将其引入属性重要性的定义,考虑该属性对于论域中不确定分类子集的影响,使属性重要性这一概念更加完善。
短句来源
  “attributes reduction”译为未确定词的双语例句
     Attributes Reduction and Structured Selection in Automatic Cartographical Generalization Based on Rough Set
     基于Rough集的居民地属性知识约简与结构化选取
短句来源
     This paper presents a method for attributes reduction and structured selection of settlements in automatic cartographical generalization based on rough set.
     基于Rough集理论提出了居民地属性知识约简及其结构化选取的方法。
短句来源
     After the analysis of the current reduction algorithm,an algorithm for attributes reduction in rough sets based on the genetic algorithm is proposed,which is mainly based on optimizing the initial population.
     该文分析了基于遗传算法的约简算法,提出了一种在优化初始群体基础上提高算法性能的遗传约简算法。
短句来源
     Rough set with strong ability to knowledge mining is applied to quantitatively analyze the importance of settlements attributes and attributes reduction. A case study is used to illustrate the method.
     该方法充分利用 Rough集理论具有较强知识挖掘能力的特点,定量分析居民地选取中条件属性的重要性,简化属性知识,并以此为基础计算每个居民地的重要性,实现居民地的结构化选取。
短句来源
     Attributes reduction of discernibility matrix is a core step of knowledge discovery using Rough set theory.
     Rough集理论是对大型数据库进行知识发现的主要方法之一。
短句来源
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  attributes reduction
Attributes reduction based on discernibility matrix and discernibility function in rough sets can use in data classification, so we put forward a method for data classification.
      


Reducing for knowledge is an important step in KDD.In theory of rough sets,the principle and methods of the reducing for attribute are specially discussed.Many scholars work over arithmetic of the reduction,but the researches are almost for static data.However databases are dynamic.The paper provides the arithmetic,ASRAI,to get the sets of the new smallest attribute reductions from to the old sets ofter a record is added to the database.The arithmetic is proved to be right and the time complexity...

Reducing for knowledge is an important step in KDD.In theory of rough sets,the principle and methods of the reducing for attribute are specially discussed.Many scholars work over arithmetic of the reduction,but the researches are almost for static data.However databases are dynamic.The paper provides the arithmetic,ASRAI,to get the sets of the new smallest attribute reductions from to the old sets ofter a record is added to the database.The arithmetic is proved to be right and the time complexity of the arithmetic is analyzed.Then the improved arithmetic,IASRAI,is provided.

知识约简是KDD(数据库中的知识发现)中的重要步骤,在粗糙集合理论中,对属性约简原理和方法有专门的论述,许多学者对约简算法进行研究.但是,这些研究几乎都是针对静态数据的,而数据库是动态的.本文提出了当增加数据库记录后,如何在已有最小属性约简簇集的基础上求解新的最小属性约简簇集的算法ASRAI,证明了该算法的正确和分析了它的时间复杂性.然后又提出了对这个算法的改进算法IASRAI.

In this paper, the authors discuss two important issues in rough set research which are attributereduction and value reduction. A new attribute reduction approach which can reach the best attribute reductionis presented based on discernibility matrix and logic computation. And a multivariate decision tree can be gotwith this method. Some improvements for a widely used value reduction method are also achieved in this paper.The complexity of acquired rule knowledge can be reduced effectively...

In this paper, the authors discuss two important issues in rough set research which are attributereduction and value reduction. A new attribute reduction approach which can reach the best attribute reductionis presented based on discernibility matrix and logic computation. And a multivariate decision tree can be gotwith this method. Some improvements for a widely used value reduction method are also achieved in this paper.The complexity of acquired rule knowledge can be reduced effectively in this way.

该文针对RoughSet理论中属性约简和值约简这两个重要问题进行了研究,提出了一种借助于可辨识矩阵(discernibilitymatrix)和数学逻辑运算得到最佳属性约简的新方法.同时,借助该矩阵还可以方便地构造基于RoushSet理论的多变量决策树.另外,对目前广泛采用的一种值约简策略进行了改进,最终使得到的规则进一步简化.

A formalized description of the basic conception of Rough sets theory in information systems is given first, then an attribute reduction algorithm (AR) in knowledge discovery in database (KDD) is proposed along with an example, the results of the examples prove the efficiency of the AR algorithm.

针对数据库中知识发现 (KDD)的信息处理问题 ,给出了信息系统中的Rough集理论基本概念的形式化描述 ,并且提出了一种KDD中属性约简算法 (AR) ,实例表明该算法十分有效 .

 
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