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» A Multi-Resolution Relational Data Model
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142
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ICDM
2005
IEEE
161views Data Mining» more  ICDM 2005»
15 years 9 months ago
Making Logistic Regression a Core Data Mining Tool with TR-IRLS
Binary classification is a core data mining task. For large datasets or real-time applications, desirable classifiers are accurate, fast, and need no parameter tuning. We presen...
Paul Komarek, Andrew W. Moore
176
Voted
CANS
2006
Springer
136views Cryptology» more  CANS 2006»
15 years 7 months ago
Watermarking Essential Data Structures for Copyright Protection
Software watermarking is a new research area that aims at providing copyright protection for commercial software. It minimizes software piracy by hiding copyright signatures inside...
Qutaiba Albluwi, Ibrahim Kamel
138
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BMCBI
2010
144views more  BMCBI 2010»
15 years 3 months ago
Super-sparse principal component analyses for high-throughput genomic data
Background: Principal component analysis (PCA) has gained popularity as a method for the analysis of highdimensional genomic data. However, it is often difficult to interpret the ...
Donghwan Lee, Woojoo Lee, Youngjo Lee, Yudi Pawita...
142
Voted
BMCBI
2008
138views more  BMCBI 2008»
15 years 3 months ago
M-BISON: Microarray-based integration of data sources using networks
Background: The accurate detection of differentially expressed (DE) genes has become a central task in microarray analysis. Unfortunately, the noise level and experimental variabi...
Bernie J. Daigle Jr., Russ B. Altman
147
Voted
BMCBI
2006
164views more  BMCBI 2006»
15 years 3 months ago
Evaluation of clustering algorithms for gene expression data
Background: Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped togethe...
Susmita Datta, Somnath Datta