Firstly, purification and reduction of formal context are discussed to remove redundant information.
首先讨论形式背景的净化和约简,消除形式背景中的冗余信息。
参考来源 - 高性能数据立方体及其语义研究The main contents are as follows:(1) Summarize the existing methods that simiplify the concept lattices model, such as formal context reduction, pruning algorithm and parallel algorithm used in concept lattices building process, concept cluster and congruence map and so on.
本文的主要内容如下:(1)总结了概念格模型简化的已有方法,例如形式背景的约简、概念格构造时使用的剪枝算法、并行算法以及在实际应用中的概念聚类和同行映射等方法。
参考来源 - 基于富概念集的概念格模型简化及应用·2,447,543篇论文数据，部分数据来源于NoteExpress
Rough formal concepts are extracted based on formal context reduced.
在约简的形式背景的基础上抽取粗糙形式概念。
The reduction algorithm of formal context that corresponding to concept lattice is extended.
对概念格对应的形式背景约简的算法加以扩展。
This paper will take unstructured Chinese texts as the data source of formal context considering the practicality.
本论文基于实用性的考虑将无结构的中文文本作为形式背景的数据源。
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