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KDD
2007
ACM
276views Data Mining» more  KDD 2007»
14 years 9 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
KDD
2007
ACM
165views Data Mining» more  KDD 2007»
14 years 9 months ago
Finding low-entropy sets and trees from binary data
The discovery of subsets with special properties from binary data has been one of the key themes in pattern discovery. Pattern classes such as frequent itemsets stress the co-occu...
Eino Hinkkanen, Hannes Heikinheimo, Heikki Mannila...
KDD
2002
ACM
183views Data Mining» more  KDD 2002»
14 years 9 months ago
E-CAST: A Data Mining Algorithm for Gene Expression Data
Data clustering methods have been proven to be a successful data mining technique in the analysis of gene expression data. The Cluster affinity search technique (CAST) developed b...
Abdelghani Bellaachia, David Portnoy, Yidong Chen,...
VLSID
2006
IEEE
150views VLSI» more  VLSID 2006»
14 years 9 months ago
A Comprehensive SoC Design Methodology for Nanometer Design Challenges
SoC design methodologies are under constant revision due to adoption of fast shrinking process technologies at nanometer levels. Nanometer process geometries exhibit new complex d...
R. Raghavendra Kumar, Ricky Bedi, Ramadas Rajagopa...
POPL
2003
ACM
14 years 9 months ago
Interprocedural compatibility analysis for static object preallocation
We present an interprocedural and compositional algorithm for finding pairs of compatible allocation sites, which have the property that no object allocated at one site is live at...
Ovidiu Gheorghioiu, Alexandru Salcianu, Martin C. ...
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