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SISAP
2009
IEEE
159views Data Mining» more  SISAP 2009»
14 years 2 months ago
Dynamic P2P Indexing and Search Based on Compact Clustering
Abstract—We propose a strategy to perform query processing on P2P similarity search systems based on peers and superpeers. We show that by approximating global but resumed inform...
Mauricio Marín, Veronica Gil Costa, Cecilia...
ICDM
2007
IEEE
170views Data Mining» more  ICDM 2007»
14 years 2 months ago
Consensus Clusterings
In this paper we address the problem of combining multiple clusterings without access to the underlying features of the data. This process is known in the literature as clustering...
Nam Nguyen, Rich Caruana
PAKDD
2007
ACM
158views Data Mining» more  PAKDD 2007»
14 years 1 months ago
Density-Sensitive Evolutionary Clustering
In this study, we propose a novel evolutionary algorithm-based clustering method, named density-sensitive evolutionary clustering (DSEC). In DSEC, each individual is a sequence of ...
Maoguo Gong, Licheng Jiao, Ling Wang, Liefeng Bo
ICDM
2006
IEEE
129views Data Mining» more  ICDM 2006»
14 years 1 months ago
Getting the Most Out of Ensemble Selection
We investigate four previously unexplored aspects of ensemble selection, a procedure for building ensembles of classifiers. First we test whether adjusting model predictions to p...
Rich Caruana, Art Munson, Alexandru Niculescu-Mizi...
ICDM
2006
IEEE
127views Data Mining» more  ICDM 2006»
14 years 1 months ago
Optimal k-Anonymity with Flexible Generalization Schemes through Bottom-up Searching
In recent years, a major thread of research on kanonymity has focused on developing more flexible generalization schemes that produce higher-quality datasets. In this paper we in...
Tiancheng Li, Ninghui Li