Cited By
View all- Antweiler DFuchs G(2022)Visualizing Rule-based Classifiers for Clinical Risk Prognosis2022 IEEE Visualization and Visual Analytics (VIS)10.1109/VIS54862.2022.00020(55-59)Online publication date: Oct-2022
Research on Visualization Algorithm of Association Rules Based on Concept Lattice
Authors: 
Xiajiong Shen, Lijie Bao, Lei ZhangAuthors Info & Claims
Xiajiong Shen, Lijie Bao, Lei ZhangAuthors Info & ClaimsPages 22 - 27
Abstract
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.
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- Research on Visualization Algorithm of Association Rules Based on Concept Lattice
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Published In
December 2020
597 pages
ISBN:9781450387828
DOI:10.1145/3444370
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In-Cooperation
- Sun Yat-Sen University
- CARLETON UNIVERSITY: INSTITUTE FOR INTERDISCIPLINARY STUDIES
- Beijing University of Posts and Telecommunications
- Guangdong University of Technology: Guangdong University of Technology
- Deakin University
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 04 January 2021
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CIAT 2020
CIAT 2020: 2020 International Conference on Cyberspace Innovation of Advanced Technologies
December 4 - 6, 2020
Guangzhou, China
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CIAT 2020 Paper Acceptance Rate 94 of 232 submissions, 41%;
Overall Acceptance Rate 94 of 232 submissions, 41%
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View all- Antweiler DFuchs G(2022)Visualizing Rule-based Classifiers for Clinical Risk Prognosis2022 IEEE Visualization and Visual Analytics (VIS)10.1109/VIS54862.2022.00020(55-59)Online publication date: Oct-2022
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