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» Knowledge Discovery in Spatial Databases
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GIS
2002
ACM
13 years 7 months ago
Opening the black box: interactive hierarchical clustering for multivariate spatial patterns
Clustering is one of the most important tasks for geographic knowledge discovery. However, existing clustering methods have two severe drawbacks for this purpose. First, spatial c...
Diansheng Guo, Donna Peuquet, Mark Gahegan
DGO
2007
93views Education» more  DGO 2007»
13 years 9 months ago
Knowledge discovery using the sand spatial browser
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Hanan Samet, Adam Phillippy, Jagan Sankaranarayana...
DATAMINE
1998
106views more  DATAMINE 1998»
13 years 7 months ago
Discovering Robust Knowledge from Databases that Change
Many applications of knowledge discovery and data mining such as rule discovery for semantic query optimization, database integration and decision support, require the knowledge t...
Chun-Nan Hsu, Craig A. Knoblock
DEXAW
2005
IEEE
189views Database» more  DEXAW 2005»
14 years 1 months ago
Knowledge Management Challenges in Knowledge Discovery Systems
Current knowledge discovery systems are armed with many data mining techniques that can be potentially applied to a new problem. However, a system faces a challenge of selecting t...
Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen
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 ...