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An incremental algorithm for generating concept lattice based on hierarchical constructure

机译:基于层次结构的概念格生成增量算法

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Formal concept analysis is a theory of data analysis which identifies conceptual structures among data sets. The FCA method of formal data analysis has successfully been applied to many fields. There are several of algorithms of building concept lattice which have been developed. Generally the algorithms are divided into two main categories which we called batch construction and incremental construction. In this paper, the properties and concept lattice based on hierarchical constructure with dynamic data are discussed. According to the properties, a new algorithm is presented to construct the concept lattice and corresponding Hasse diagram.
机译:形式概念分析是一种数据分析理论,可以识别数据集中的概念结构。 FCA形式数据分析方法已成功应用于许多领域。已经开发了几种构建概念格的算法。通常,算法分为两大类,分别称为批处理构造和增量构造。本文讨论了基于具有动态数据的分层结构的属性和概念格。根据特性,提出了一种构造概念格和相应的Hasse图的新算法。

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