The reverse doubling construction

Jean-François Viaud, K. Bertet, C. Demko, R. Missaoui
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引用次数: 6

Abstract

It is well known inside the Formal Concept Analysis (FCA) community that a concept lattice could have an exponential size in the data. Hence, the size of concept lattices is a critical issue in the presence of large real-life data sets. In this paper, we propose to investigate factor lattices as a tool to get meaningful parts of the whole lattice. These factor lattices have been widely studied from the early theory of lattices to more recent work in the FCA field. This paper contains two parts. The first one gives background about lattice theory and formal concept analysis, and mainly compatible sub-contexts, arrow-closed sub-contexts and congruence relations. The second part presents a new decomposition called “reverse doubling construction” that exploits the above three notions used for the doubling convex construction investigated by Day. Theoretical results and their proofs are given as well as an illustrative example.
反向加倍结构
在形式概念分析(FCA)社区中众所周知,概念格在数据中可能具有指数大小。因此,概念格的大小在大型现实数据集中是一个关键问题。在本文中,我们提出研究因子格作为一种工具来获得整个格的有意义部分。从早期的格理论到最近的FCA领域的工作,这些因子格已经被广泛研究。本文分为两部分。第一部分给出了格理论和形式概念分析的背景,主要包括相容子语境、箭头闭合子语境和同余关系。第二部分提出了一种新的分解,称为“反向加倍结构”,它利用了上述三个概念用于加倍凸结构的研究。给出了理论结果和证明,并举例说明。
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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