1) reduced concept lattice
约简概念格
1.
Through the concept lattice reduce algorithm,obtained the final reduced concept lattice,which storage its own rule set at each node.
针对传统缺省规则知识挖掘算法易出现规则繁复、提取和存储不便等不足,提出了基于泛化分配表(GDT)和约简概念格(CL)优势互补的GDTCL缺省规则挖掘模型。
2) concept reduction
概念约简
1.
This methodology uses NLP techniques and statistical algorithms to extract domain-spocific concepts from texts through semantic string segmentation, rules matching,analysis of domain consensus and relevance,and concept reduction.
为获取中文领域本体的概念提出了基于规则匹配和统计方法相结合的学习模型,充分利用现有的自然语言处理技术和统计学习方法,从领域文本中通过语义串切分、规则匹配、领域归属度分析和概念约简算法自动获取领域概念。
3) constrained concept lattice
约束概念格
1.
Research on Outliers Mining Method and Its Application Based on Constrained Concept Lattice;
基于约束概念格的离群数据挖掘方法及应用
2.
Constrained concept lattice,with characteristics of higher constructing efficiency,practicability and pertinency,is a new concept lattice structure.
约束概念格是一种新的概念格结构,具有构造效率高、提取知识针对性和实用性强等特点。
4) simple concept
简单概念
1.
The author discusses nature of both "simple concept"and "duologue",as well as basic condition and eventuality on they will give in geography.
“简单概念”和“对话”是表达科学对实在的基本解释关系的理论要素 ,构成科学的一种进化机制 。
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。
补充资料：约简
1.俭约简易。
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