Data Mining

Data mining is the process of extracting knowledge and patterns from large datasets to solve real-world problems. Current research emphasizes the application of advanced machine learning models, including deep learning architectures like multi-layer perceptrons and transformers, as well as generative models like diffusion models, to analyze diverse data types such as time series, spatio-temporal data, and multimodal data (e.g., images and text). This field is crucial for advancements in various sectors, including healthcare (disease prediction, personalized education), finance (fraud detection), transportation (traffic prediction), and public safety (crime prediction), by enabling more accurate predictions and informed decision-making. The development of robust models that handle challenges like imbalanced datasets and high dimensionality is a key focus.