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KDD
2005
ACM
157views Data Mining» more  KDD 2005»
16 years 2 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
IPPS
2006
IEEE
15 years 7 months ago
Design and analysis of a multi-dimensional data sampling service for large scale data analysis applications
Sampling is a widely used technique to increase efficiency in database and data mining applications operating on large dataset. In this paper we present a scalable sampling imple...
Xi Zhang, Tahsin M. Kurç, Joel H. Saltz, Sr...
EUROPAR
2003
Springer
15 years 6 months ago
Preventive Multi-master Replication in a Cluster of Autonomous Databases
We consider the use of a cluster of PC servers for Application Service Providers where applications and databases must remain autonomous. We use data replication to improve data av...
Esther Pacitti, M. Tamer Özsu, Cédric ...
CVPR
2008
IEEE
16 years 3 months ago
Coherent Laplacian 3-D protrusion segmentation
In this paper, an analysis of locally linear embedding (LLE) in the context of clustering is developed. As LLE conserves the local affine coordinates of points, shape protrusions ...
Fabio Cuzzolin, Diana Mateus, David Knossow, Edmon...
BIOINFORMATICS
2005
71views more  BIOINFORMATICS 2005»
15 years 1 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...