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» Efficiently Mining Regional Outliers in Spatial Data
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VLDB
1997
ACM
175views Database» more  VLDB 1997»
13 years 12 months ago
STING: A Statistical Information Grid Approach to Spatial Data Mining
Spatial data mining, i.e., discovery of interesting characteristics and patterns that may implicitly exist in spatial databases, is a challenging task due to the huge amounts of s...
Wei Wang 0010, Jiong Yang, Richard R. Muntz
ICDM
2008
IEEE
107views Data Mining» more  ICDM 2008»
14 years 2 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...
FSKD
2010
Springer
205views Fuzzy Logic» more  FSKD 2010»
13 years 5 months ago
Research on spatial data mining based on uncertainty in Government GIS
Uncertainty is the intrinsic property of spatial data and one of important factors affecting the course of spatial data mining. There are diversiform forms for the essentiality an...
Bin Li, Lihong Shi, Jiping Liu
BTW
1999
Springer
157views Database» more  BTW 1999»
13 years 12 months ago
Database Primitives for Spatial Data Mining
Abstract: Spatial data mining algorithms heavily depend on the efficient processing of neighborhood relations since the neighbors of many objects have to be investigated in a singl...
Martin Ester, Stefan Grundlach, Hans-Peter Kriegel...
ICDM
2009
IEEE
153views Data Mining» more  ICDM 2009»
13 years 5 months ago
A New Clustering Algorithm Based on Regions of Influence with Self-Detection of the Best Number of Clusters
Clustering methods usually require to know the best number of clusters, or another parameter, e.g. a threshold, which is not ever easy to provide. This paper proposes a new graph-b...
Fabrice Muhlenbach, Stéphane Lallich