1) Non-taxonomic relation
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非分类关系
1.
This paper introduces an extended association rule which learns Chinese non-taxonomic relation names with linguistics rule after extracting concept pairs with general association rule.
提出一种扩展的关联规则法用于抽取中文非分类关系,在利用普通关联规则抽取出非分类关系概念对后,通过语言学规则抽取相应的非分类关系名称。
2) taxonomic relationship
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分类关系
3) taxonomic relation
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分类关系
1.
This paper introduces a framework of extracting the taxonomic relation semi-automatically for ontology learning from text.
根据本体学习目前的研究现状,提出了一种从文本中半自动获取本体中分类关系的实现,讨论了本体学习中概念抽取和概念间分类关系抽取等关键技术。
2.
The ontology taxonomic relation among concepts is reviewed,and a general,domain-independent and bottom-up multi-level model and algorithm for establishing the taxonomic relation among concepts is proposed.
该文总结了本体概念之间的分类关系研究现状,提出了一个通用且独立于领域的自底向上建立中文概念之间的分类关系的分级模型和算法,算法充分考虑了中文自身的特点,通过生成领域词汇的语义森林并利用现有的语义词典或机读词典进行语义森林的整合。
3.
For the defects of template-based method applied in Chinese ontology learning at present,this paper presents a taxonomic relation extraction method based on HowNet and bootstrapping.
本文针对目前基于模板方法在面向中文文本的本体学习中的缺陷,提出了基于知网和模式自举的中文概念间分类关系获取方法。
4) relational classification
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关系分类
1.
As an important task of multi-relational data mining,multi-relational classification can directly look for patterns that involve multiple relations from a relational database and have more advantages than propositional data mining approaches.
根据知识表示形式及相关策略的不同将多关系数据分类分为归纳逻辑程序设计关系分类方法、图的关系分类方法和基于关系数据库的关系分类方法。
5) Multi-relational classification
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多关系分类
1.
Multi-relational classification is one of the most popular research areas in data mining.
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多关系分类是数据挖掘领域中的研究和应用热点。
6) relational classifier
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关系分类器
1.
Fuzzy relational classifier has the defect of low accuracy and high reject rate.
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分析了现有关系分类器分类正确率低、拒识率高的原因,并在此基础上设计了一种基于最优监督型聚类中心的关系分类器。
补充资料:经济关系(见生产关系)
经济关系(见生产关系)
economical relation
1 ingji gU口nxj经济关系(eeonomieal relation)系。见生产关
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
参考词条