3 papers
cs.LG2025
Graph Neural Network-Driven Hierarchical Mining for Complex Imbalanced Data
Yijiashun Qi, Quanchao Lu, Shiyu Dou +3
This study presents a hierarchical mining framework for high-dimensional imbalanced data, leveraging a depth graph model to address the inherent performance limitations of conventi…
cs.DB2024
A Matrix Logic Approach to Efficient Frequent Itemset Discovery in Large Data Sets
Xuan Li, Tingyi Ruan, Yankaiqi Li +2
This paper proposes a frequent itemset mining algorithm based on the Boolean matrix method, aiming to solve the storage and computational bottlenecks of traditional frequent patter…
cs.DC2024
AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP
Xiaoxuan Sun, Yue Yao, Xiaoye Wang +2
With the rapid development of artificial intelligence technology, its application in the optimization of complex computer systems is becoming more and more extensive. Edge computin…