AI-Enabled Data Mining Technologies and Applications

Dear Colleagues,

Artificial intelligence has become a driving force in transforming data mining from traditional analytical techniques into intelligent, automated, and highly adaptive systems. As the volume, velocity, and complexity of data continue to grow, AI‑enabled data mining technologies play a crucial role in extracting valuable knowledge and supporting data‑driven decision‑making. This Special Issue aims to provide a platform for researchers and practitioners to share their latest advances, challenges, and opportunities in this rapidly evolving field.

We welcome contributions that present innovative AI‑powered algorithms, deep learning and machine learning models, and intelligent frameworks designed to enhance the efficiency, accuracy, and scalability of data mining tasks. Research involving pattern recognition, semantic understanding, context‑aware processing, and knowledge discovery is of particular interest. In addition, we encourage applied studies that demonstrate real‑world impact across domains such as healthcare, finance, smart cities, cybersecurity, industrial systems, and social networks.

By gathering diverse perspectives, ranging from theoretical developments to practical applications, this Special Issue seeks to advance the state of the art in AI‑enabled data mining and foster interdisciplinary collaborations that push the boundaries of intelligent data analysis.

Dr. Kichun Lee
Guest Editor

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