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1)  WCL
加权概念格
2)  weighted quantitative concept lattice
加权量化概念格
3)  Frequent weighted concept lattice
频繁加权概念格
1.
Frequent weighted concept lattice is a kind of special weighted concept lattice, whose nodes are all frequent, namely, each satisfies the threshold given by the users.
频繁加权概念格是一种特殊的加权概念格,其所有结点都是频繁结点,即满足用户阈值的结点。
4)  weighted concept network(WCN)
加权概念网络
1.
The weighted concept network(WCN)is adopted to represent the user profile.
采用加权概念网络表示用户模型,以概念图的形式定义需求中概念间的语义关联关系,充分表达用户的真实需求。
5)  concept lattice
概念格
1.
Representation and mining of frequent itemsets based on the pruned concept lattice;
基于剪枝概念格模型的频繁项集表示及挖掘
2.
Study on FCI mining algorithm based on concept lattice;
基于概念格的频繁闭项集增量挖掘算法研究
3.
Representation and resolution of reduction based on the concept lattice;
基于概念格模型的约简表示及求解
6)  concept-table
概念表格
1.
This method consisted of four basic steps:(1) adopting two filtering rules to distinguish between position-tables and concept-tables,(2) formalizing HTML tables,(3) using statistics to decide which cells were attribute cells,(4) employing the position relationships between attribute cells and between HTML tables to ascertain the relationships among at.
该方法包含四个步骤:采用过滤规则,区分定位表格和概念表格;以五元组序列形式化超文本标记语言表格;使用统计方法确定属性单元格;依据属性单元格间和表格间的位置关系,确定属性间关系。
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