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MLDM
2009
Springer
13 years 11 months ago
Regional Pattern Discovery in Geo-referenced Datasets Using PCA
Existing data mining techniques mostly focus on finding global patterns and lack the ability to systematically discover regional patterns. Most relationships in spatial datasets ar...
Oner Ulvi Celepcikay, Christoph F. Eick, Carlos Or...
GIS
2008
ACM
14 years 5 months ago
Finding regional co-location patterns for sets of continuous variables in spatial datasets
This paper proposes a novel framework for mining regional colocation patterns with respect to sets of continuous variables in spatial datasets. The goal is to identify regions in ...
Christoph F. Eick, Jean-Philippe Nicot, Rachana Pa...
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, ...
KDD
2003
ACM
122views Data Mining» more  KDD 2003»
14 years 5 months ago
Discovery of climate indices using clustering
To analyze the effect of the oceans and atmosphere on land climate, Earth Scientists have developed climate indices, which are time series that summarize the behavior of selected ...
Michael Steinbach, Pang-Ning Tan, Vipin Kumar, Ste...
BMCBI
2011
12 years 8 months ago
Binding Site Prediction for Protein-Protein Interactions and Novel Motif Discovery using Re-occurring Polypeptide Sequences
Background: While there are many methods for predicting protein-protein interaction, very few can determine the specific site of interaction on each protein. Characterization of t...
Adam Amos-Binks, Catalin Patulea, Sylvain Pitre, A...