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WEBI
2004
Springer
14 years 1 months ago
Mining Local Data Sources For Learning Global Cluster Models
— Distributed data mining has recently caught a lot of attention as there are many cases where pooling distributed data for mining is probibited, due to either huge data volume o...
Chak-Man Lam, Xiaofeng Zhang, William Kwok-Wai Che...
KDD
2004
ACM
302views Data Mining» more  KDD 2004»
14 years 8 months ago
Redundancy based feature selection for microarray data
In gene expression microarray data analysis, selecting a small number of discriminative genes from thousands of genes is an important problem for accurate classification of diseas...
Lei Yu, Huan Liu
CLUSTER
2009
IEEE
14 years 2 months ago
Utility analysis for Internet-oriented server consolidation in VM-based data centers
—Server consolidation based on virtualization technology will simplify system administration, reduce the cost of power and physical infrastructure, and improve utilization in tod...
Ying Song, Yanwei Zhang, Yuzhong Sun, Weisong Shi
TCBB
2010
112views more  TCBB 2010»
13 years 2 months ago
A Study of Hierarchical and Flat Classification of Proteins
Automatic classification of proteins using machine learning is an important problem that has received significant attention in the literature. One feature of this problem is that e...
Arthur Zimek, Fabian Buchwald, Eibe Frank, Stefan ...
BMCBI
2005
122views more  BMCBI 2005»
13 years 7 months ago
GenClust: A genetic algorithm for clustering gene expression data
Background: Clustering is a key step in the analysis of gene expression data, and in fact, many classical clustering algorithms are used, or more innovative ones have been designe...
Vito Di Gesù, Raffaele Giancarlo, Giosu&egr...