In this talk, Doctor Timos Sellis examines big data processing techniques over frequently updated locations and trajectories of moving objects.
We will discuss the properties of place networks, show how these networks grow, and finally formulate a link prediction task in the same domain.
Dr. Ilhab Ilyas discusses practical challenges to developing data cleaning solutions including data ownership and holistic data quality concerns.
Dr. Wagner will discuss how observational data can help to gain insights into dietary preferences of users & cultural relations between communities.
This talk covers the value of tags for lookup and exploratory search while looking at the problem from a network theoretic and interface perspective.