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规则提取
相关语句
  rule extraction
    Symbol inductive learning theory also has application in intrusion detection and its fundamental idea is considering intrusion detection as the problem of knowledge representation and rule extraction.
    在把基于符号的归纳学习理论应用于入侵检测方面,基本思想是把入侵检测视为一个知识表达和规则提取问题。
短句来源
  “规则提取”译为未确定词的双语例句
    A New Incremental Rule-Extracting Algorithm Based on Rough Sets
    一种新的基于粗集的增量式规则提取算法
短句来源
    Web Mining:Discovery of Different Customers and Rules Based on Rough Set Theory
    基于粗糙集的Web用户的识别与规则提取
短句来源
    OBFM-based algorithm for extraction of correlative rules in image database
    图像数据库中一种基于OBFM的关联规则提取算法研究
短句来源
    In this paper, we make contribution to optimize the signature creation using OOA mining algorithm, and, the experiment results illustrate that, compared to the other two OOA mining algorithms, our OOA_DMAV_FPgrowth algorithm performs the highest efficiency.
    实验结果表明,在OOA规则生成器中,本文提出的改进的OOA_DMAV_FPgrowth算法在规则提取过程中效率优于前两种算法。
短句来源
    Based on large numbers of train examples, we adopt learning from examples approach which implement produce rules by using extended OCAT algorithm to realize classification of text.
    我们采用实例学习方法,在大量训练实例的基础上,将改进的用于逻辑规则提取的OCAT挖掘算法用于文本分类规则的提取,分别产生针对正例集和反例集的识别规则,对文本进行二分分类。
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  rule extraction
A rule extraction tech nique is then applied in order to extract explicit knowledge from the trained neural networks and represent it in the form of fuzzy if-then rules.
      
Our proposed network adapts from an initial analog phase, which has good training behavior, to a discrete phase for automatic rule extraction.
      
First, Radial Basis Function Neural Networks (RBFNN) learning techniques are explored, as is usual in the literature, since the local nature of this paradigm makes it a suitable platform for performing rule extraction.
      
By using support vectors from a learned SVM it is possible in our approach to use any standard Radial Basis Function (RBF) learning technique for the rule extraction, whilst avoiding the overlapping between classes problem.
      
Linguistic Rule Extraction From a Simplified RBF Neural Network
      
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  rule generation
In addition, the rule generation algorithm is presented here to express the clustering result by the format of knowledge.
      
Third, how can learned rules be improved through performance evaluation and feedback to rule generation stages.
      
The simulation results show that the method involves neither the time-consuming iterative learning procedure nor the complicated rule generation mechanisms, and can approximate complex system.
      
Reinforcement-based fuzzy neural network control with automatic rule generation
      
A reinforcemen-based fuzzy neural network control with automatic rule generation (RBFNNC) is proposed.
      
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IDS (Intrusion Detection System) is a tool to detect the network intrusion actions. The key of IDS is the accuracy of the security mode rules. In network system there is a large amount of log audit data which contain much information related to security. So IDS can extract security mode rules from the log audit data. However, as the amount of the log audit date is too large, we can apply data mining technology into security mode rule extraction. This paper studies how to make data mining to system log audit...

IDS (Intrusion Detection System) is a tool to detect the network intrusion actions. The key of IDS is the accuracy of the security mode rules. In network system there is a large amount of log audit data which contain much information related to security. So IDS can extract security mode rules from the log audit data. However, as the amount of the log audit date is too large, we can apply data mining technology into security mode rule extraction. This paper studies how to make data mining to system log audit information in IDS, provides the whole steps, and stresses using axis attribute to make character extraction to log audit information.

入侵检测系统是用来检测网络入侵行为的工具。入侵检测系统的关键在于其安全模式规则的准确性。网络系统中存在大量的日志审计数据,在这些日志审计数据中含有许多与安全有关的信息。入侵检测系统可以从日志审计数据中提取安全模式规则。但由于这些日志审计数据量非常庞大,因此采用数据挖掘技术从中进行安全模式规则的提取。研究了如何在入侵检测中对系统日志审计信息进行数据挖掘,提出了全套的步骤,并重点论述了采用轴属性对日志审计信息进行特征提取。

Applying FOIL of first-order learning in rules extraction of Web knowledge is a common approach in learning Web knowledge. This paper improves FOIL and puts forward a new path-finding arithmetic, which largely enhances the original arithmetic's stability and accuracy.

将一阶学习的 FOIL 算法应用到 Web知识规则的提取是当前学习 Web知识所普遍采用的方法 .本文在 FOIL算法的基础上进行了改进 ,提出了基于网页间联系的新的路径学习算法 ,使得原算法的稳定性和精确度都明显提高

This paper proposes a metadata extracting method for HTML document based on rules. After introducing syntax and semantics of the rules, design of rule library is discussed. Based on the method aforementioned, a system named MEDES(metadata extracting system) is developed, which can perform automatic metadata extraction from HTML documents. The experiment results are evaluated, and the future work are discussed in the end.

提出了一种基于规则提取HTML文档元数据的方法,介绍了规则的语法、语义和规则库的设计,研制了一个原型系统MEDES(MEtaData Extracting System),实现HTML文档元数据的自动提取。文章的最后给出了实验结果和评价,并指出进一步的工作。

 
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