STDM 2012 - The International Special Session on Spatio-Temporal Data Mining: Theory and Applications

Spatio-Temporal Data Mining: Theory and Applications
[Session Chairs]: Tomasz F. Stepinski (stepintz-AT-uc.edu), Dan Simovici (dsim-AT-cs.umb.edu), Wei Ding (ding-AT-cs.umb.edu)
[Scope]: Spatio-temporal data is explicitly or implicitly utilized in many application areas such as: remote-sensing images, environment and climate analysis, traffic and trajectories analysis, etc. Potentially valuable patterns and information are hidden in spatio-temporal data sets. Especially designed data mining methods and algorithms are needed to discover knowledge in spatio-temporal data sets. The goal of IEA/AIE 2012 is to connect recent advances in research with the real world industrial/government application. The proposed special session is meant to attract participants interested in research topics and real world application in which spatial and temporal consideration are paramount.
Topics:
Advances in analysis of spatio-temporal data.
Data mining theory, techniques and tools for spatio-temporal patterns.
Specific techniques and algorithms for dealing with time series data and streaming data.
Applications and case studies for geocoded data.
Association rules and pattern mining for spatio-temporal data.
Trajectory analysis for moving objects.
Topics are not restricted to the above list and additional research issues related to spatio-temporal data mining are also welcomed.