The data mining method based on the Concept Lattice is constituted by the two key steps: construction of concept lattices and extraction of designed grid knowledge.
基于概念格的数据挖掘方法由两个关键步骤构成:概念格的构建和基于构建好的概念格的知识提取。
As the data size increases, the artificial construction of concept lattice is not feasible, and there are very few tools which can construct concept lattices automatically.
随着数据规模的增大,概念格的人工构建已不可行,而概念格的自动构建工具却寥寥无几。
Conclusion This results will simplify the construction of concept lattices and facilitate the process of knowledge discovery, especially for large and complex formal contexts.
结论推广了已知结果,易于获得复杂形式背景的面向属性概念格,从而更有利于知识发现。
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