A fast algorithm of concept generation

Xi Gong
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Abstract

Concept generation is an important prerequisite for the formal concept analysis. With the increment of the formal context, time complexity of the existing algorithms increase rapidly. This paper presents a fast algorithm of concept generation. The algorithm needs the formal context to satisfy certain conditions. It uses a continuous matrix. It first determines the state of each row of the continuous matrix then generates concepts with each row as an object every time. It had been proved that the time complexity of the algorithm is O(n). It is significantly higher than the efficiency of the existing algorithms. This approach utilizes continuous matrix and provides new idea in formal concept analysis.
一种快速概念生成算法
概念生成是形式化概念分析的重要前提。随着形式上下文的增加,现有算法的时间复杂度迅速增加。提出了一种快速的概念生成算法。该算法需要形式上下文来满足一定的条件。它使用一个连续矩阵。它首先确定连续矩阵每一行的状态,然后每次以每一行为对象生成概念。证明了该算法的时间复杂度为O(n)。该算法的效率明显高于现有算法。该方法利用连续矩阵,为形式概念分析提供了新的思路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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