Managing Uncertainty in Evolving Geo-Spatial Data vr

- Andreas Züfle, Goce Trajcevski, Dieter Pfoser, and Joon-Seok Kim

PARIS (CEST) Brisbane (GMT+10) Beijing (GMT+8) New York (EDT) Seattle (PDT)
14:45 - 15:35 22:45 - 23:35 20:45 - 21:35 8:45 - 9:35 5:45 - 6:35


The goal of the advanced seminar is to survey solutions for managing, querying and mining uncertain spatial and spatio-temporal data. The authors convincingly explain that extracting and exploiting knowledge from evolving spatial phenomena is generally impaired by unreliable, erroneous, obsolete, imprecise, sparse, or noisy data. Therefore, integrating the impact of this uncertainty is of importance when estimating the reliability/confidence of any time-varying query result from the underlying input data. During the 50mn seminar they plan to survey different models and show examples of how to efficiently enrich query results with reliability information. They plan to discuss both analytical solutions as well as approximate solutions based on geosimulation. There will be four speakers. They have complementary expertise on handling and managing uncertainty in spatio-temporel data, on mining uncertain data, and geosimulation of spatio-temporal system.