Computer Engineering and Applications ›› 2021, Vol. 57 ›› Issue (1): 84-91.DOI: 10.3778/j.issn.1002-8331.2002-0368

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Visualization of Association Rules in Context of Concept Lattices

YANG Geying, SHEN Xiajiong, SHI Xianjin, ZHANG Lei   

  1. 1.School of Computer and Information Engineering, Henan University, Kaifeng, Henan 475004, China
    2.Henan Key Laboratory of Big Data Analysis and Processing, Kaifeng, Henan 475004, China
  • Online:2021-01-01 Published:2020-12-31



  1. 1.河南大学 计算机与信息工程学院,河南 开封 475004
    2.河南大学 河南省大数据分析与处理重点实验室,河南 开封 475004


Traditional rule representation methods cannot show the nature of the relationship between concepts, the lack of understanding of the concept hierarchy, ignoring the problem such as sharing the results of knowledge discovery, and concept lattice as a data structure can succinctly vivid embodiment of generalization and instantiated in the relationship between the concepts, in terms of knowledge visualization and association rules found potential also has a unique advantage. This paper proposes an association rule visualization method with concept lattice as the background, takes concept lattice as the search unit, looks for the association rule path to be displayed in concept lattice, extends the association relation between attributes to the conceptual level, and gives the corresponding visualization strategy and algorithm of multi-pattern rules. Finally, the association rules are analyzed and visualized based on the library data. Experimental results show that the visualization method is effective in knowledge discovery and sharing.

Key words: concept lattice, association rules, generalization and instantiated, knowledge discovery, visualization



关键词: 概念格, 关联规则, 泛化和例化, 知识发现, 可视化