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» Detecting critical regions in multidimensional data sets
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ICDM
2006
IEEE
130views Data Mining» more  ICDM 2006»
14 years 1 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, ...
AVSS
2005
IEEE
14 years 1 months ago
Detecting and quantifying unusual interactions by correlating salient motion
A significant problem in scene interpretation is efficient bottom-up extraction and representation of salient features. In this paper, we address the problem of correlating sali...
Hayley S. Hung, Shaogang Gong
HPDC
2010
IEEE
13 years 8 months ago
Lessons learned from moving earth system grid data sets over a 20 Gbps wide-area network
In preparation for the Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report, the climate community will run the Coupled Model Intercomparison Project phase 5 (...
Rajkumar Kettimuthu, Alex Sim, Dan Gunter, Bill Al...
CIKM
2010
Springer
13 years 6 months ago
On the selectivity of multidimensional routing indices
Recently, the problem of efficiently supporting advanced query operators, such as nearest neighbor or range queries, over multidimensional data in widely distributed environments...
Christos Doulkeridis, Akrivi Vlachou, Kjetil N&osl...
INCDM
2007
Springer
97views Data Mining» more  INCDM 2007»
14 years 1 months ago
Clustering by Random Projections
Abstract. Clustering algorithms for multidimensional numerical data must overcome special difficulties due to the irregularities of data distribution. We present a clustering algo...
Thierry Urruty, Chabane Djeraba, Dan A. Simovici