Research

Mining Complex Time-stamped Event Streams

Given a huge, online stream of time-evolving events with multiple attributes, such as online shopping logs: (item, price, brand, time), and local mobility: (pick-up location, drop-off location, time), how can we see any hidden patterns, rules, and anomalies?

• Short video

Predicting Future Events by Discovering Predictive Patterns

Time Series Transformation for Ultrafast Arriving Data Streams