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ICDM
2005
IEEE
13 years 10 months ago
2005
IEEE
We study an algorithm for feature selection that clusters attributes using a special metric and then makes use of the dendrogram of the resulting cluster hierarchy to choose the m...
ICDM
2005
IEEE
13 years 10 months ago
2005
IEEE
In this paper, we propose a semi-supervised framework for learning a weighted Euclidean subspace, where the best clustering can be achieved. Our approach capitalizes on user-const...
ICDM
2005
IEEE
13 years 10 months ago
2005
IEEE
The preference model introduced in this paper gives a natural framework and a principled solution for a broad class of supervised learning problems with structured predictions, su...
ICDM
2005
IEEE
13 years 10 months ago
2005
IEEE
Scale is often an issue with understanding and making sense of large social networks. Here we investigate methods for pruning social networks by determining the most relevant rela...
ICDM
2005
IEEE
13 years 10 months ago
2005
IEEE
In this paper we examine the effect that the choice of support and confidence thresholds has on the accuracy of classifiers obtained by Classification Association Rule Mining. ...