Mining Complex

Mining complex data, encompassing diverse types from time series and text to images and sensor readings, aims to extract meaningful patterns and insights for improved decision-making. Current research focuses on developing advanced algorithms, including deep learning models (e.g., transformers, recurrent neural networks, variational autoencoders) and novel prompt engineering techniques for large language models, to efficiently handle high-dimensional, noisy, and incomplete data. These advancements have significant implications across various fields, from optimizing industrial processes like mining operations and healthcare management to enhancing scientific discovery through improved data analysis and interpretation.