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ISBRA
2007
Springer
15 years 10 months ago
Noise-Based Feature Perturbation as a Selection Method for Microarray Data
Abstract. DNA microarrays can monitor the expression levels of thousands of genes simultaneously, providing the opportunity for the identification of genes that are differentiall...
Li Chen, Dmitry B. Goldgof, Lawrence O. Hall, Stev...
VLDB
2007
ACM
105views Database» more  VLDB 2007»
15 years 10 months ago
Extending Q-Grams to Estimate Selectivity of String Matching with Low Edit Distance
There are many emerging database applications that require accurate selectivity estimation of approximate string matching queries. Edit distance is one of the most commonly used s...
Hongrae Lee, Raymond T. Ng, Kyuseok Shim
ADMA
2006
Springer
127views Data Mining» more  ADMA 2006»
15 years 10 months ago
Feature Selection for Complex Patterns
Feature selection is an important data preprocessing step in data mining and pattern recognition. Many algorithms have been proposed in the past for simple patterns that can be cha...
Peter Schenkel, Wanqing Li, Wanquan Liu
136
Voted
CSB
2005
IEEE
143views Bioinformatics» more  CSB 2005»
15 years 9 months ago
Multivariate gene selection: Does it help
When building predictors of disease state based on gene expression data, gene selection is performed in order to achieve a good performance and to identify a relevant subset of ge...
Carmen Lai, Marcel J. T. Reinders
SIGMOD
1999
ACM
125views Database» more  SIGMOD 1999»
15 years 8 months ago
Selectivity Estimation in Spatial Databases
Selectivity estimation of queries is an important and wellstudied problem in relational database systems. In this paper, we examine selectivity estimation in the context of Geogra...
Swarup Acharya, Viswanath Poosala, Sridhar Ramaswa...