Steps towards causal Formal Concept Analysis

被引:3
|
作者
Bazin, Alexandre [1 ]
Couceiro, Miguel [1 ]
Devignes, Marie-Dominique [1 ]
Napoli, Amedeo [1 ]
机构
[1] Univ Lorraine, CNRS, INRIA, LORIA, Nancy, France
基金
欧盟地平线“2020”;
关键词
Formal Concept Analysis; Causal inference; DUQUENNE-GUIGUES BASIS; CONCEPT LATTICES; DISCOVERY; INFERENCE; SETS;
D O I
10.1016/j.ijar.2021.12.007
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A B S T R A C T Efficiently discovering causal relations from data and representing them in a way that facilitates their use is an important problem in science that has received much attention. In this paper, we propose an adaptation of the Formal Concept Analysis formalism to the problem of discovering and representing causal relations. We show that Formal Concept Analysis structures and algorithms are well-suited to this problem.(c) 2021 Elsevier Inc. All rights reserved.
引用
收藏
页码:338 / 348
页数:11
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