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A Layered Recursive Construction Algorithm and a Visualization Method for Concept Lattice

机译:概念格的分层递归构造算法和可视化方法

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As an efficient tool for data analysis,Formal Concept Analysis (FCA) is widely used in domains of software engineering and machine learning.The construction of concept lattice is the core step of FCA.A Layered Recursive Construction Algorithm (LRCA) is proposed in this paper.It creates direct child concepts for every concept and adopts the method of logical operation of attribute vectors to guarantee only direct child concepts can be produced.And it uses layered examining method to guarantee creating child concepts for each parent only once.A simulation experiment is done for performance evaluation.The experimental result shows that LRCA can greatly raise the processing ability by more than 6 times.In addition,a heuristic method is given for concept lattice visualization.It can automatically draw distinct and neat concept lattice diagram,and make the crosses of edges as few as possible.
机译:形式化概念分析(FCA)作为一种有效的数据分析工具,已广泛应用于软件工程和机器学习领域。概念格的构建是FCA的核心步骤。本文提出了分层递归构造算法(LRCA)它为每个概念创建直接子概念,并采用属性向量的逻辑运算方法来保证只能生成直接子概念,并使用分层检查方法以确保为每个父对象仅创建一次子概念。模拟实验实验结果表明,LRCA可以将处理能力大大提高6倍以上。此外,给出了一种启发式方法进行概念格可视化,可以自动绘制清晰,整洁的概念格图,并进行边缘的交叉越少越好。

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