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?

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Predicting Future Events by Discovering Predictive Patterns

Given real-time sensor data streams obtained from machines, how can we continuously predict when a machine failure will occur? This work aims to continuously forecast the timing of future events by analyzing multi-sensor data streams.

• Short video