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» Mining Spatial Gene Expression Data for Association Rules
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115
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ICDM
2006
IEEE
130views Data Mining» more  ICDM 2006»
15 years 5 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, ...
DMIN
2006
156views Data Mining» more  DMIN 2006»
15 years 1 months ago
Design of a data mining framework to mine generalized association rules in a web-based GIS
A Geographic Information System allows to create and manage spatial data. Having many public users who create and edit objects in geographic maps, the question of data quality aris...
Sebastian Haehnel, Johannes Hauf, Thomas Kudrass
71
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GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
15 years 5 months ago
Clustering gene expression data via mining ensembles of classification rules evolved using moses
Moshe Looks, Ben Goertzel, Lúcio de Souza C...
88
Voted
RECOMB
2003
Springer
15 years 12 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...
JIIS
2006
100views more  JIIS 2006»
14 years 11 months ago
Spatial associative classification: propositional vs structural approach
Spatial associative classification takes advantage of employing association rules for spatial classification purposes. In this work, we investigate spatial associative classificati...
Michelangelo Ceci, Annalisa Appice