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» GeoDMA - A Novel System for Spatial Data Mining
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KDD
1998
ACM
160views Data Mining» more  KDD 1998»
13 years 10 months ago
Algorithms for Characterization and Trend Detection in Spatial Databases
1 The number and the size of spatial databases, e.g. for geomarketing, traffic control or environmental studies, are rapidly growing which results in an increasing need for spatial...
Martin Ester, Alexander Frommelt, Hans-Peter Krieg...
IKE
2007
13 years 7 months ago
Spatial and Temporal Target Association through Semantic Analysis and GPS Data Mining
- We present an application for analyzing temporal and spatial interaction in an Association Network environment based on integrating Global Positioning Systems (GPS) Data, RDF Met...
David Luper, Delroy Cameron, John Miller, Hamid R....
IEAAIE
2005
Springer
13 years 11 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
SSD
1997
Springer
140views Database» more  SSD 1997»
13 years 10 months ago
Spatial Data Mining: A Database Approach
Abstract. Knowledge discovery in databases (KDD) is an important task in spatial databases since both, the number and the size of such databases are rapidly growing. This paper int...
Martin Ester, Hans-Peter Kriegel, Jörg Sander
DATAMINE
2000
118views more  DATAMINE 2000»
13 years 6 months ago
Spatial Data Mining: Database Primitives, Algorithms and Efficient DBMS Support
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, Alexander Frommelt, Hans-Peter Krieg...