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» Detection of Spatial Changes using Spatial Data Mining
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TMM
2002
104views more  TMM 2002»
13 years 8 months ago
Spatial contextual classification and prediction models for mining geospatial data
Modeling spatial context (e.g., autocorrelation) is a key challenge in classification problems that arise in geospatial domains. Markov random fields (MRF) is a popular model for i...
Shashi Shekhar, Paul R. Schrater, Ranga Raju Vatsa...
AI
2009
Springer
14 years 3 months ago
An Ontology-Based Spatial Clustering Selection System
Spatial clustering, which groups similar spatial objects into classes, is an important research topic in spatial data mining. Many spatial clustering methods have been developed re...
Wei Gu, Xin Wang, Danielle Ziébelin
ICDE
2007
IEEE
107views Database» more  ICDE 2007»
14 years 3 months ago
An Integrated Platform for Spatial Data Mining within a GIS Environment
The strength of GIS is in providing a rich data infrastructure for combining disparate data in meaningful ways by using a spatial arrangement (e.g., proximity). As a toolbox, a GI...
Annalisa Appice, Antonietta Lanza, Donato Malerba
GIS
2003
ACM
14 years 10 months ago
Attribute space visualization of demographic change
This paper introduces an approach for closer integration of selforganizing maps into the visualization of spatio-temporal phenomena in GIS. It is proposed to provide a more explic...
André Skupin, Ron Hagelman
ICCV
1998
IEEE
14 years 11 months ago
Thresholding for Change Detection
Image differencing is used for many applications involving change detection. Although it is usually followed by a thresholding operation to isolate regions of change there are few...
Paul L. Rosin