Research on Visualization Algorithm of Association Rules Based on Concept Lattice

Autor: Lijie Bao, Xiajiong Shen, Lei Zhang
Rok vydání: 2020
Předmět:
Zdroj: CIAT
Popis: The traditional association rule representation method has no way to show the essential relationship between concepts and lacks understanding of the concept level. Concept lattice is a kind of data structure which can show the relationship between concepts, concept lattice also has unique advantages in the visualization and discovery of potential knowledge of association rules. In this paper, a visualization algorithm of association rules based on concept lattice is proposed. The algorithm visually displays the association rules extracted from concept lattice. Finally, this article combines the chronic disease record data of a certain hospital to analyze and visualize the association rules. The implementation results show that the visualization method has good effects in knowledge analysis and data display.
Databáze: OpenAIRE