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» A Clustering Approach for Achieving Data Privacy
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PR
2010
156views more  PR 2010»
13 years 5 months ago
Semi-supervised clustering with metric learning: An adaptive kernel method
Most existing representative works in semi-supervised clustering do not sufficiently solve the violation problem of pairwise constraints. On the other hand, traditional kernel met...
Xuesong Yin, Songcan Chen, Enliang Hu, Daoqiang Zh...
BIOINFORMATICS
2005
71views more  BIOINFORMATICS 2005»
13 years 7 months ago
Semi-supervised protein classification using cluster kernels
A key issue in supervised protein classification is the representation of input sequences of amino acids. Recent work using string kernels for protein data has achieved state-of-t...
Jason Weston, Christina S. Leslie, Eugene Ie, Deng...
KDD
2005
ACM
157views Data Mining» more  KDD 2005»
14 years 7 months ago
A fast kernel-based multilevel algorithm for graph clustering
Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
VLDB
2006
ACM
172views Database» more  VLDB 2006»
14 years 7 months ago
Hierarchical hippocratic databases with minimal disclosure for virtual organizations
Abstract The protection of customer privacy is a fundamental issue in today's corporate marketing strategies. Not surprisingly, many research efforts have proposed new privacy...
Fabio Massacci, John Mylopoulos, Nicola Zannone
ATAL
2006
Springer
13 years 11 months ago
Efficient agent-based cluster ensembles
Numerous domains ranging from distributed data acquisition to knowledge reuse need to solve the cluster ensemble problem of combining multiple clusterings into a single unified cl...
Adrian K. Agogino, Kagan Tumer