Data Mining Perspective

Data mining research currently focuses on enhancing the explainability and efficiency of machine learning models, particularly deep neural networks, and applying these techniques to diverse domains. Key areas include developing data-centric approaches to explainable AI (XAI), optimizing model training through techniques like soft mining for faster convergence, and leveraging large language models for knowledge discovery in complex datasets such as patents. These advancements are improving the interpretability, speed, and applicability of data mining across fields ranging from materials science and drug discovery to cybersecurity and epidemiological analysis.