将决策表进行属性约简，值约简。
属性约简是知识获取中的关键问题之一。
Attribute reduction is one of the key problems for the knowledge acquisition.
对矩阵进行化简得到属性约简并生成规则。
将属性约简算法与其他算法结合在一起使用。
Connecting the improved attributes reduction algorithm with other algorithms.
有一个很好的实现动态并行约简算法调用内核？
Is there a good implementation of reduction algorithm callable from kernel with dynamic parallelism?
后面又提到了基于信息熵的相对属性约简算法。
And then a relative attribute reduction algorithm is mentioned based on information entropy.
提出一种基于粗糙集属性重要性的属性约简算法。
Proposed an algorithm of attribute reduction based on attribute importance of rough set.
属性约简是粗糙集(RS)理论的核心内容之一。
The attribute reduction is one of the cores of Rough Set (RS) theory.
特征选择和特征抽取是维数约简常用的两种方法。
Feature selection and feature extraction are common methods for dimensionality reduction.
首先，研究了在不完备信息系统下的属性约简算法。
Firstly, the attributes reduction algorithm is studied under the incomplete information systems.
并在此基础上提出了基于差分演化算法的属性约简算法。
And on this basis, an attribute reduction algorithm based on the improved differential evolutionary algorithm was put forward.
最佳知识约简问题是信息系统与知识发现中面临的一个重要问题。
A problem in the information system and knowledge discovery, is a problem of processing optimal knowledge reduction.
最后证明了属性约简在布尔矩阵和代数两种不同表示下是等价的。
Finally, the equivalence properties between Boolean matrix representation and algebra representation of attribute reduction are proved.
在计算属性约简集的基础上，建立了雷达干扰空间的偏序关系矩阵。
Based on the reduction of attribute sets, the partial order relation matrix of radar jamming space is obtained.
在文本分类中，有效的维数约简可以提高学习任务的效率和分类性能。
Effective dimensionality reduction could make the learning task more efficient and more accurate in text classification.
并举例说明，对于不一致决策表，其属性的约简不能用信息量来等价表示。
Through examples, it shows that attribute reduction of an inconsistent decision table cannot entirely be represented by information quantity.
提出约简质量的定义，从属性约简率和近似质量两方面来衡量约简效果。
The attribute reduction quality, which includes reduction ratio and approximate quality, is defined to scale the reduction effectiveness.
问问你的老祖母，在她的年代里，爱物惜物和节约简朴都是被珍惜的价值。
Ask your grandma. In her day, stewardship and resourcefulness and thrift were valued.
为提高粗集约简的效率，提出了一种基于条件信息量的快速粗集约简算法。
To improve the efficiency of attribute reduction, a rapid reduction algorithm based on conditional information quantity is proposed.
随后论文重点对作者在数据离散和属性约简两个方面做的研究工作进行了阐述。
Then the author's researches on data discretization and attribute reduction are introduced in detail.
在对分类与归并性质充分研究的基础上，探讨了条件分类、约简与核的层次关系。
According to the properties of partition and merging, the hierarchy relation among condition classification, reduction and core is studied.
以扫描向量中的属性频率项作为属性约简搜索的启发信息，提高了属性约简效率。
The item of attribute frequency in the scan vector was taken as heuristic information to improve the efficiency of attributes reduction.
本文深入研究了多种约简方法的实现原理，探讨了各方法的优缺点，提出了几种算法。
The paper researches on several reduction algorithms, analyzes the advantages and disadvantages of each method, in addition, the following algorithms are proposed.
并举例说明，对于不一致决策表，其属性约简的代数表示不能用条件信息量来等价表示。
Through examples, it shows that attribute reduction of an inconsistent decision table cannot entirely be represented by conditional information quantity.
算法具有多边形约简算法相同的优良的近似质量，并可在固定数据缓冲区空间内在线运算。
The quality of approximation is as good as polygonal boundary reduction, and it can process the data online in a constant buffer.
属性约简要求在保持知识库的分类和决策能力不变的条件下，删除不相关或不重要的属性。
Under the condition of unchanged classification and decision abilities, attribute reduction is to delete irrelative or unimportant attribute.
但是属性约简是一个NP问题，对属性的约简和决策规则的约简只能通过启发式算法实现。
But the attribute reduction is a NP problem, the attribution reduction and decision rule reduction will be solved by method of elicitation.
本文提出了一个新的决策表离散化算法，该算法在离散化数据的同时具有良好的属性约简功能。
In this paper, a novel decision table discretization algorithm is presented, which has fine attribute reduction function in time of data discretization and increases quality of classification.
本文提出了一个新的决策表离散化算法，该算法在离散化数据的同时具有良好的属性约简功能。
In this paper, a novel decision table discretization algorithm is presented, which has fine attribute reduction function in time of data discretization and increases quality of classification.
应用推荐