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» Practical Preference Relations for Large Data Sets
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BMCBI
2007
100views more  BMCBI 2007»
15 years 6 months ago
PARE: A tool for comparing protein abundance and mRNA expression data
Background: Techniques for measuring protein abundance are rapidly advancing and we are now in a situation where we anticipate many protein abundance data sets will be available i...
Eric Z. Yu, Anne E. Counterman Burba, Mark Gerstei...
SDM
2008
SIAM
120views Data Mining» more  SDM 2008»
15 years 7 months ago
Spatial Scan Statistics for Graph Clustering
In this paper, we present a measure associated with detection and inference of statistically anomalous clusters of a graph based on the likelihood test of observed and expected ed...
Bei Wang, Jeff M. Phillips, Robert Schreiber, Denn...
DAWAK
2007
Springer
16 years 11 days ago
Mining Top-K Multidimensional Gradients
Several business applications such as marketing basket analysis, clickstream analysis, fraud detection and churning migration analysis demand gradient data analysis. By employing g...
Ronnie Alves, Orlando Belo, Joel Ribeiro
HPCA
2011
IEEE
14 years 10 months ago
Essential roles of exploiting internal parallelism of flash memory based solid state drives in high-speed data processing
Flash memory based solid state drives (SSDs) have shown a great potential to change storage infrastructure fundamentally through their high performance and low power. Most recent ...
Feng Chen, Rubao Lee, Xiaodong Zhang
TSP
2010
15 years 27 days ago
Noisy data and impulse response estimation
Abstract--This paper investigates the impulse response estimation of linear time-invariant (LTI) systems when only noisy finitelength input-output data of the system is available. ...
Soosan Beheshti, Munther A. Dahleh