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» Detection of Spatial Changes using Spatial Data Mining
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IEAAIE
2005
Springer
13 years 10 months ago
Analyzing Multi-level Spatial Association Rules Through a Graph-Based Visualization
Association rules discovery is a fundamental task in spatial data mining where data are naturally described at multiple levels of granularity. ARES is a spatial data mining system ...
Annalisa Appice, Paolo Buono
ICDM
2008
IEEE
107views Data Mining» more  ICDM 2008»
13 years 11 months ago
GeoDMA - A Novel System for Spatial Data Mining
Although a huge amount of remote sensing data has been provided by Earth observation satellites, few data manipulation techniques and information extraction in large data sets hav...
Thales Sehn Korting, Leila Maria Garcia Fonseca, M...
JIIS
2006
113views more  JIIS 2006»
13 years 4 months ago
Spatial ordering and encoding for geographic data mining and visualization
: Geographic information (e.g., locations, networks, and nearest neighbors) are unique and different from other aspatial attributes (e.g., population, sales, or income). It is a ch...
Diansheng Guo, Mark Gahegan
PAKDD
2007
ACM
109views Data Mining» more  PAKDD 2007»
13 years 10 months ago
A Language and a Visual Interface to Specify Complex Spatial Patterns
The emerging interests in spatial pattern mining lead to the demand for a flexible spatial pattern mining language, on which easy to use and understand visual pattern language cou...
Xiaohui Li, Yan Huang
DASFAA
2006
IEEE
136views Database» more  DASFAA 2006»
13 years 10 months ago
Mining Outliers in Spatial Networks
Outlier analysis is an important task in data mining and has attracted much attention in both research and applications. Previous work on outlier detection involves different type...
Wen Jin, Yuelong Jiang, Weining Qian, Anthony K. H...