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124
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CCGRID
2007
IEEE
15 years 9 months ago
Virtual Clusters on the Fly - Fast, Scalable, and Flexible Installation
One of the advantages in virtualized computing clusters compared to traditional shared HPC environments is their ability to accommodate user-specific system customization. Howeve...
Hideo Nishimura, Naoya Maruyama, Satoshi Matsuoka
110
Voted
ICDM
2005
IEEE
136views Data Mining» more  ICDM 2005»
15 years 9 months ago
Pairwise Symmetry Decomposition Method for Generalized Covariance Analysis
We propose a new theoretical framework for generalizing the traditional notion of covariance. First, we discuss the role of pairwise cross-cumulants by introducing a cluster expan...
Tsuyoshi Idé
DEXA
2009
Springer
175views Database» more  DEXA 2009»
15 years 10 months ago
RoK: Roll-Up with the K-Means Clustering Method for Recommending OLAP Queries
Dimension hierarchies represent a substantial part of the data warehouse model. Indeed they allow decision makers to examine data at different levels of detail with On-Line Analyt...
Fadila Bentayeb, Cécile Favre
144
Voted
IPPS
2006
IEEE
15 years 9 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...
127
Voted
BIOINFORMATICS
2006
89views more  BIOINFORMATICS 2006»
15 years 3 months ago
Maximum significance clustering of oligonucleotide microarrays
Affymetrix high-density oligonucleotide microarrays measure expression of DNA transcripts using probesets, i.e. multiple probes per transcript. Usually, these multiple measurement...
Dick de Ridder, Frank J. T. Staal, Jacques J. M. v...