Data Mining & Algorithm Laboratory

Big data are often represented in the form of sequences (e.g., texts, time-series data) or graphs (e.g., knowledge graphs, user-item interactions). We have conducted research into algorithms that efficiently analyze the data. Our primary research interests are data mining, information retrieval, and machine learning on these data. We have been trying to develop theoretically sound, elegant, and scalable algorithms for large data for real applications.