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1)  the rules of test-paper extraction
抽题规则
2)  rule extraction
规则抽取
1.
Text categorization rule extraction based on fuzzy decision tree;
基于模糊决策树的文本分类规则抽取
2.
A web document categorization rule extraction based on chaos particle swarm optimization combining linkage clustering;
结合链接结构聚类的混沌粒子群网页分类规则抽取
3.
Study on Attributions Selection and Rule Extraction of Data Mining for Classification Based on Neural Networks;
基于神经网络的分类数据挖掘属性选择和规则抽取研究
3)  Extraction rules
抽取规则
1.
This method generates information extraction rules that is based on DOM path through attaching syntax information and sample-learning.
该方法通过附加语义、样本学习生成基于DOM路径的抽取规则,利用遍历DOM树实现信息抽取。
2.
In the framework, the autonomy and coordination of agent are employed to assist user formulate extraction queries, to learn extraction rules on the base of knowledge bases and so on.
在这个原型系统里,利用Agent的自治能力和合作能力来协助用户对抽取请求进行公式化表述和结合知识库学习抽取规则等。
3.
The program that extracts information from web is called wrapper, and the main task of constructing wrapper is to prepare extraction rules.
从网页中抽取信息的程序叫包装器(Wrapper),构建包装器的主要任务是编写抽取规则,因此,编写健壮灵活的抽取规则成为信息抽取的研究重点。
4)  extraction rule
抽取规则
1.
Web Information Extraction Rules and Their Learning Algorithms;
Web信息抽取规则及其学习算法
2.
Visualized implementation of Web information extraction rule based on mini-node DOM tree
最小节点信息树抽取规则及可视化生成方法
3.
In this paper,we mainly discussed DOM-based Web information extraction,studied how to construct extraction rules to improve precision ratio of extraction and adaptation of extraction rules,and the rules generation procedure is also presented.
本文主要讨论基于DOM的Web信息抽取,研究如何构造抽取规则,才能提高信息抽取的准确度、提高抽取规则的适应能力,并给出了抽取规则的生成过程。
5)  rules abstraction
规则抽象
6)  rules extraction
规则抽取
1.
The process of knowledge discovery in time series includes preprocessing of time series data,attributes reduction and rules extraction.
知识发现的过程包括时间序列数据预处理、属性约简和规则抽取三部分。
2.
The method uses tactics of immune clone in rules extraction from NN and clusters outputs of hidden neurons of NN, to reduce the searching scale and extract succinct sign rules of good understanding.
神经网络的不可解释性一直是限制其发展的固有缺陷,该文从神经网络的功能性观点出发,提出基于免疫克隆选择算法的神经网络规则抽取方法。
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