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» Detection of Spatial Changes using Spatial Data Mining
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ISMIS
2005
Springer
14 years 1 months ago
Mining and Filtering Multi-level Spatial Association Rules with ARES
In spatial data mining, a common task is the discovery of spatial association rules from spatial databases. We propose a distributed system, named ARES that takes advantage of the ...
Annalisa Appice, Margherita Berardi, Michelangelo ...
WSCG
2004
170views more  WSCG 2004»
13 years 9 months ago
Geo-Spatial Data Viewer: From Familiar Land-covering to Arbitrary Distorted Geo-Spatial Quadtree Maps
In many application domains, data is collected and referenced by its geo-spatial location. Spatial data mining, or the discovery of interesting patterns in such databases, is an i...
Daniel A. Keim, Christian Panse, Jörn Schneid...
VLDB
1994
ACM
140views Database» more  VLDB 1994»
13 years 11 months ago
Efficient and Effective Clustering Methods for Spatial Data Mining
Spatial data mining is the discovery of interesting relationships and characteristics that may exist implicitly in spatial databases. In this paper, we explore whether clustering ...
Raymond T. Ng, Jiawei Han
ISBI
2008
IEEE
14 years 8 months ago
Inferring functional connectivity using spatial modulation measures of fMRI signals within brain regions of interest
We propose inferring functional connectivity between brain regions by examining the spatial modulation of the blood oxygen level dependent (BOLD) signals within brain regions of i...
Bernard Ng, Rafeef Abugharbieh, Martin J. McKeown
IGARSS
2009
13 years 5 months ago
Potential Fire Detection based on Kalman-driven Change Detection
A new active fire event detection algorithm for data collected with the Spinning Enhanced Visible and Infrared Imager (SEVIRI) sensor, based on the extended Kalman filter, is intr...
Frans van den Bergh, Gustave Udahemuka, Barend J. ...