2 papers
cs.LG2025
Contrastive and Variational Approaches in Self-Supervised Learning for Complex Data Mining
Yingbin Liang, Lu Dai, Shuo Shi +3
Complex data mining has wide application value in many fields, especially in the feature extraction and classification tasks of unlabeled data. This paper proposes an algorithm bas…
cs.LG2025
Context-Aware Rule Mining Using a Dynamic Transformer-Based Framework
Jie Liu, Yiwei Zhang, Yuan Sheng +3
This study proposes a dynamic rule data mining algorithm based on an improved Transformer architecture, aiming to improve the accuracy and efficiency of rule mining in a dynamic da…