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KDD
1997
ACM
146views Data Mining» more  KDD 1997»
13 years 8 months ago
Density-Connected Sets and their Application for Trend Detection in Spatial Databases
1 Several clustering algorithms have been proposed for class identification in spatial databases such as earth observation databases. The effectivity of the well-known algorithms ...
Martin Ester, Hans-Peter Kriegel, Jörg Sander...
BMCBI
2008
148views more  BMCBI 2008»
13 years 4 months ago
Discovering biclusters in gene expression data based on high-dimensional linear geometries
Background: In DNA microarray experiments, discovering groups of genes that share similar transcriptional characteristics is instrumental in functional annotation, tissue classifi...
Xiangchao Gan, Alan Wee-Chung Liew, Hong Yan
ADBIS
2004
Springer
124views Database» more  ADBIS 2004»
13 years 10 months ago
Vague Spatial Data Types, Set Operations, and Predicates
Many geographical applications deal with spatial objects that cannot be adequately described by determinate, crisp concepts because of their intrinsically indeterminate and vague n...
Alejandro Pauly, Markus Schneider
ICDM
2006
IEEE
130views Data Mining» more  ICDM 2006»
13 years 10 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, ...
ICDM
2009
IEEE
112views Data Mining» more  ICDM 2009»
13 years 11 months ago
Spatio-temporal Multi-dimensional Relational Framework Trees
—The real world is composed of sets of objects that move and morph in both space and time. Useful concepts can be defined in terms of the complex interactions between the multi-...
Matthew Bodenhamer, Samuel Bleckley, Daniel Fennel...