实验结果表明，规则提取算法对两个系统都是有效的。
Experimental results show that the algorithm is effective to the both systems.
充分考虑了可辨识矩阵的特性，提出一种基于类别特征矩阵的决策规则提取算法。
An extracting rules algorithm based on class feature matrix is presented, which has made use of the characteristic of discernibility matrix.
分析规则的三个度量标准：支持度、置信度、覆盖度，对其进行量化，并提出一规则提取算法。
After analyzing the three metrics of rules: support, confidence, coverage, this paper quantifies them and proposes an algorithm for rules extraction.
同时，借助决策矩阵进行值约简，提出了一种新的规则提取算法，使最终得到的决策规则更加简洁。
Furthermore, a new algorithm for rule extraction based on decision matrices was presented. And much more concise decision rules could be got with this method.
利用粗糙集理论进行数据挖掘，抽取知识规则，最重要的一点就是基于粗糙集的属性约简和规则提取算法的研究。
To use of rough set theory for data mining and the extraction rules of the knowledge, the most important point is that based on the attribute reduction and rule extraction algorithms of rough set.
提出了一种基于模糊软分类和粗糙集理论来提取模糊规则的一种算法。
On the basis of fuzzy clustering and rough set, an algorithm for extracting fuzzy rules was proposed.
基于小波分解，提出了一种融合算法，该算法在小波分解的子带图像中提取局部边缘信息作为融合规则，较好的实现了两幅互补皮革图像的融合。
Based on wavelet decomposition this paper presented a fusion algorithm, which extracted the local edge info in subband images as fusion rule and fused two leather images with complementarity.
二是提出了基于规则的相关文本提取算法。
The other is that rule-based related text extraction method is proposed .
本文对数据成时间序列的动态决策表，用增量式算法提取决策表的规则模型。
In this paper, we extract rules of the decision table by an incremental algorithm for the dynamic decision table of the time series data.
基于概念格理论提出了一种从形式背景中获得所有形式概念的算法，并根据构建的概念格提取蕴含规则。
The paper gives an algorithm of obtaining all form concepts from the formal context based on the concept lattice theory. And then, to extract the implication rules from the lattice.
提出一种面向分类规则提取的分层抽样算法。
A stratify sampling algorithm for extracting classification rules is proposed in the dissertation.
研究了规则提取的矩阵算法。
基于不规则三角网DEM，提出一种新的单流向地形特征自动提取算法。
Based on TINs DEM, a new single-flow direction algorithm for topographic patterns extraction is proposed.
提取网络入侵模式所用的主要有分类算法、关联规则算法和序列规则算法等。
Major methods to distill network intrusion mode are class algorithm, association rule algorithm and frequent episodes algorithm.
改进了一种粗糙集决策表的值约简算法，并将其应用到文本分类规则的提取中。
A reduction algorithm based on rough set is improved and then applicated to extract the rules of text categorization.
本文提出并实现了一种基于规则格网dem的地形特征线提取算法。
This paper presents an algorithm for watershed features extraction based on DEM.
针对高程数据，给出一种规则化插补的重采样方法和基于着陆区平面拟合的粗糙度与坡度提取算法。
For elevation data, a regularized interpolation for resampling and an algorithm for extracting terrain roughness and slope with landing area plane fitting are presented.
然后基于内涵缩减，我们给出了从格上提取关联规则的算法伪码，两个性质被用来去除冗余的关联规则；
Then we give out the algorithms for extracting association rules from the lattice based on intent reduct, where two properties are exploited to remove the redundant rules.
论文把分布式数据挖掘算法运用于入侵检测系统，研究了基于分布式关联规则算法的分布式模式提取。
This paper applies distributed data mining algorithm to IDS, takes some research on distributed pattern extraction which is based on distributed association rules algorithm.
在研究了现有图形提取算法的基础上，本文针对手绘图形绘制不规则的特点，提出了一种新的图形识别算法—基于直线段跟踪的手绘图元识别算法。
After studying the existing graphics extraction algorithm, a new graphics recognition algorithm-an off-line recognition method for freehand graphics based on line segment tracing is proposed.
新闻推荐规则是建立在用户特征提取算法的基础之上实现的，是对本系统实现的补充和完善。
The news recommendation rule generation part is based on feature extraction part and it is the complement of the system.
文中探讨了一种用于提取模糊规则的RBF神经网络结构，提出了基于此网路结构的模糊隶属度函数学习算法，最后给出了用于验证该算法有效性的仿真实例。
The learning algorithm of membership function based on the RBF Neural Network is discussed and an example is given to demonstrate the validity of this algorithm.
利用三维部件与其外包立方盒体积比作为特征提取的依据，提出了一种实例检索算法，能够处理形状不规则的产品部件实例。
A case retrieval algorithm is proposed which uses the volume ratio of 3-dimension component and its bounding box to extract feature values.
本数据挖掘系统使用增量算法发现关联规则和提取决策规则。
The data mining system can discover association rules and decision rules.
本文中用户行为特征提取算法的设计主要借鉴了粗糙集理论中的属性约简与规则提取的思想。
The user feature extraction algorithmic in this paper reference from attribute reduction and decision rule extraction of rough set theory.
本文中用户行为特征提取算法的设计主要借鉴了粗糙集理论中的属性约简与规则提取的思想。
The user feature extraction algorithmic in this paper reference from attribute reduction and decision rule extraction of rough set theory.
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