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» Detection of Spatial Changes using Spatial Data Mining
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CINQ
2004
Springer
225views Database» more  CINQ 2004»
14 years 1 months ago
A Data Mining Query Language for Knowledge Discovery in a Geographical Information System
Spatial data mining is a process used to discover interesting but not explicitly available, highly usable patterns embedded in both spatial and nonspatial data, which are possibly ...
Donato Malerba, Annalisa Appice, Michelangelo Ceci
SSD
1995
Springer
146views Database» more  SSD 1995»
13 years 11 months ago
Discovery of Spatial Association Rules in Geographic Information Databases
Spatial data mining, i.e., discovery of interesting, implicit knowledge in spatial databases, is an important task for understanding and use of spatial data- and knowledge-bases. I...
Krzysztof Koperski, Jiawei Han
GIS
1999
ACM
14 years 10 days ago
Spatial Data Integrity Constraints in Object Oriented Geographic Data Modeling
An important activity in the design of a particular database application consists in identifying the integrity constraints that must hold on the database, and that are used to det...
Karla A. V. Borges, Alberto H. F. Laender, Clodove...
RECOMB
2003
Springer
14 years 8 months ago
Phylogenetically and spatially conserved word pairs associated with gene expression changes in yeasts
Background: Transcriptional regulation in eukaryotes often involves multiple transcription factors binding to the same transcription control region, and to understand the regulato...
Derek Y. Chiang, Alan M. Moses, Manolis Kamvysseli...
ICDM
2006
IEEE
130views Data Mining» more  ICDM 2006»
14 years 2 months ago
A Framework for Regional Association Rule Mining in Spatial Datasets
The immense explosion of geographically referenced data calls for efficient discovery of spatial knowledge. One critical requirement for spatial data mining is the capability to ...
Wei Ding 0003, Christoph F. Eick, Jing Wang 0007, ...