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1)  the complexity matching dimension
复杂性匹配维度
2)  Matching complexity
匹配复杂度
3)  complex match
复杂匹配
1.
Based on the SF algorithm, an improved schema matching algorithm, Similarity Flooding-Complex (SF-C), is proposed in this paper, which does not only deal with both simple and complex matches semi-automatically, but also apply the technology of lexical analysis that deal with the simple and complex matches respectively and the process is running at the same time.
在SF算法的基础上,提出了一种改进的数据库模式匹配算法Similarity Flooding-Complex(SF-C),它能半自动的处理简单匹配和复杂匹配,而且应用了词法分析技术,对候选匹配进行分类处理,使对简单匹配和复杂匹配的处理同时进行,一定程度上提高了效率。
2.
However,relationships between real-world schemas involve many complex matches besides 1:1 matches.
现有的模式匹配方法大多集中于发掘模式间的1:1匹配,然而,现实世界模式之间除了1:1匹配还包括许多的复杂匹配。
3.
A new system of discovering the complex matches between database schemas called CSM(Complex Schema Matching) is proposed in this paper.
本文提出一种新的发掘数据库模式间复杂匹配的系统构架CSM。
4)  complex matching
复杂匹配
1.
Deep Web complex matching method based on association mining and semantic clustering
基于关联挖掘和语义聚类的Deep Web复杂匹配方法
2.
Secondly, a new semi-automatically approach was exploited to discover both 1:1 and complex matching with the domain knowledge.
其次,在分析传统的数据库模式属性1:1匹配技术基础上,给出一种基于领域知识的数据库模式复杂匹配方法。
5)  multi-dimensions fit
多维度匹配
6)  complexity allocation
复杂度分配
补充资料:对称性匹配组态
分子式:
CAS号:

性质: 指组态函数不仅要满足关于交换的反对称性,而且要满足空间对称性并成为自旋算符的本征函数。

说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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