How can we find useful patterns and anomalies in big data? How can we learn models for prediction and better understanding of data? How to handle data that are either too huge or too fast? In Data Mining Lab, we are doing interesting projects on models, algorithms, and systems with applications on knowledge discovery, learning, and anomaly detection.