Spatial Data Mining:
Consolidation and Renewed Bearing
April 22, 2006
call for papers
challenge: pandemic preparedness
News: the agenda for the workshop, including the list of accepted papers, is now available.
Spatial data sets are at the heart of a variety of scientific and engineering domains, from astrophysics to computational fluid dynamics to robotics. Rapid advances in simulation and experimentation in these domains are yielding an increasing reliance on efficient and effective spatial reasoning algorithms. New applications in other domains, such as aerodynamics, scientific computing, RFID, sensor and actuator networks, and structural bioinformatics, are additionally being cast in terms of mining and reasoning about spatial data. These developments demand effective cross-fertilization and consolidation of computational techniques from qualitative reasoning, data mining, scientific computing, and statistical methodology, in the context of significant applications.
Significant spatial data mining research is being conducted in different communities driven by complementary goals and pursuing complementary approaches. The confluence of research agendas is exhibited in several trends:
The purpose of the SIAM-DM 2006 Workshop on Spatial Data Mining is to bring together researchers from areas of spatial data mining, spatial modeling, and applications, and provide a forum for exchanging ideas, fostering collaborations, and gaining momentum.
|Last modified: Wed Mar 15 08:59:35 EST 2006|