A5008828435- Complex Network Analysis Techniques
- Technology and Data Analysis
- Data Management and Algorithms
- Data Visualization and Analytics
- Risk and Safety Analysis
- Marine and Coastal Research
- Advanced Graph Neural Networks
- Graph Theory and Algorithms
- Data Mining Algorithms and Applications
- Rough Sets and Fuzzy Logic
Ulsan National Institute of Science and Technology
2023-2024
Hypergraphs are increasingly employed to model complex, diverse relationships in modern networks, effectively capturing higher-order interactions. A critical challenge this domain is the discovery of cohesive subgraphs, which provides valuable insights into hypergraph structures. However, selecting suitable parameters for task remains unresolved. To address this, we propose an efficient indexing framework designed online retrieval subgraphs. Our approach enables rapid identification desired...
Hypergraphs serve as a powerful tool for modeling complex relationships across domains like social networks, transactions, and recommendation systems. The (k,g)-core model effectively identifies cohesive subgraphs by assessing internal connections co-occurrence patterns, but it is susceptible to inflated cohesiveness due trivial hyperedges. To address this, we propose the $(k,g,p)$-core model, which incorporates relative importance of hyperedges more accurate subgraph detection. We develop...
Identifying cohesive subgraphs in hypergraphs is a fundamental problem that has received recent attention data mining and engineering fields. Existing approaches mainly focus on strongly induced subhypergraph or edge cardinality, overlooking the importance of frequency co-occurrence. In this paper, we propose new subgraph named (k,g)-core, which considers both neighbour co-occurrence simultaneously. The $(k,g)$-core various applications including recommendation system, network analysis,...
In this study, we tried to analyze and compare chemical accident data suggest measures prevent accidents improve safety management. The database provided by the Korea Chemical Safety Agency Hydrocarbon Release Database (HCRD) in UK were summarized, two databases used current status of such as month, time, size various causes accidents. analysis showed that countries had a common point increased frequency summer at 10-12 o'clock domestic cause was ratio human causes, large physical causes....
In this study, we tried to analyze and compare chemical accident data suggest measures prevent accidents improve safety management. The database provided by the Korea Chemical Safety Agency Hydrocarbon Release Database (HCRD) in UK were summarized, two databases used current status of such as month, time, size various causes accidents. analysis showed that countries had a common point increased frequency summer at 10-12 o'clock domestic cause was ratio human causes, large physical causes....