The big data challenge is about making sense of large
collections of complex and dynamic information, and using them as
assets for business intelligence and other forms of analytics-based insight.
Example applications include smart advertising and marketing based on user-action logs,
intelligent control of complex logistics for traffic and energy, or
identifying trends and opinions in social media in the Internet.
Our group is exploring ways to efficiently and effectively mine emerging topics in streams of user-generated Web 2.0 contents and other kinds of interesting patterns in highly dynamic data generated by sensors or in business settings.