1) concept difference
概念分歧
2) concept disambiguation
概念消歧
1.
The main idea is shown as follows: Firstly, the physical structure of text is obtained from the input text; Secondly, based on concept mapping, concept density, and concept disambiguation, text hierarchical analysis is automatically performed; Finally, as a result, the logical structure of text is gained, and text structure tree is created which consists of text theme, hierarchies, and paragraphs.
其基本思想是对于输入文本，首先识别出文本的物理结构；然后在概念映射、概念密度和概念消歧的基础上，将文本依据主题划分为若干层次；最终获得文本的逻辑结构。
3) concept analysis
概念分析
1.
Concept Analysis in Informatization of Library
概念分析在图书馆信息化中的应用
2.
The thesis analyzes individually the format design of Fine Arts Survey 2004 by means of "concept analysis" and"quantification evaluation", which makes clear and definite their relations from academic level, on the other hand, attempts tofind the trends of the subject and the possibility of innovation of the system of the theory, and to find a more harmoniousdeveloping model.
运用“概念分析”和“量化评价”对《美术观察》2004年版式设计个案进行剖析,一方面试图从学术层面厘清所涉及的“编辑”与“版式设计”的概念和它们之间的关系,另一方面则试图从量化评价的角度找出学科发展的动态及建设理论系统的创新的可能性,为两者之间找到一种更为和谐的发展模式。
3.
In this paper,we propose three approaches to reduce test suite with concept analysis and greed algorithm,extend incremental test suite reduction,propose test suite reduction approach for deleting obsolete user session.
本文使用概念分析这一数学方法,并结合贪心算法提出了三种测试集简化方法,同时扩展了测试集的动态简化,提出了移除过时用户会话的测试集简化方法。
4) concept hierarchy
概念分层
1.
Research on appraising system of tourism geological resources based on structure of concept hierarchy;
基于“概念分层”结构的旅游地质资源评分系统的开发
2.
Personal recommendation algorithm based on concept hierarchy;
基于概念分层的个性化推荐算法
3.
Application of association rule in repast industry business database based on the concept hierarchy
基于概念分层的关联规则在酒店餐饮营业数据库的应用
5) conception division
概念划分
1.
Application of trapezium-cloud model in conception division and conception exaltation;
梯形云模型在概念划分及提升中的应用
6) concept hierarchies
概念分层
1.
The method and process of analyize are shown from dada pretreatment including property concept hierarchies to building decision tree based on information gain in detail.
介绍了国内银行信用卡业务和特约商户发展的现状,对实施银行信用卡特约商户分析的必要性进行了讨论,介绍了ID3决策树算法的主要内容,讨论了数据预处理过程,并对属性进行了概念分层的离散化处理,详细阐述了基于信息增益的决策树构建过程,最后讨论了分析结果和利用特约商户分析来增强客户关系管理的效果。
2.
This paper briefly introduces the technique of data mining and the concepts of census,expatiates the concept hierarchies,its algorithm and the composition,high dynamic process and data′s characteristics are analysed in detail,and applies it to the data of census.
简要介绍数据挖掘技术及人口普查的基本概念及相互联系,阐述概念分层的相关概念及算法,提出概念分层的分类和组成部分,详细分析概念分层高度动态的过程和数据特性。
3.
Multi-level association rule is the rule with the characteristics of concept hierarchies.
多层关联规则是带有一定概念分层的关联规则,它描述了不同抽象级别上数据项之间的关联性,且不同级别上的关联性具有不同的指导意义。
补充资料：非分歧理想
非分歧理想
inramified ideal
非分歧理想[皿口mi丘刃i阁;Itepa3鹅T姗Hu.幼期eaJI] 代数数域(亦见代数数(al罗bluic~ber);数域(11Umber fie】d))K中立于素数p之上的素理想(p~id份l)平，使得主理想(P)在K中分解为如下的素理想之积二 (p)二率;’…平二’，其中平l=书，平2，…，平、铸平，e:二1.更精确地说，这样的非分歧理想称为绝对非分歧的(a比ofutelyunmlnjfied).一般地，设A为公油如.司环(Dedekind川19)，k为A的分式域，K为k的有限扩域，B是A在K中的整闭包(见环的整扩张(Integ服lexte璐ionofa nng).处于A的素理想刃之上的B的素理想平称为在扩张K/k下不分歧，如果 刃B=平:’…平二’，其中平，，…，平，是B中互不相同的素理想，平，=平，el二1.如果所有的平:，…，甲、都不分歧，有时也称理想刃在扩张K/k下是非分歧的·对于C司。is扩张K/k，B的一个理想平是非分歧的，当且仅当平在Galois群G(K/k)中的分解群等同于剩余类域扩张(BZ平)/(A/刃)的G司。is群.对于代数数域的任意有限扩张，所有的理想除有限个外都是非分歧的.
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