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» Data Mining for Genetics: A Genetic Algorithm Approach
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BMCBI
2007
108views more  BMCBI 2007»
13 years 9 months ago
Computer-aided identification of polymorphism sets diagnostic for groups of bacterial and viral genetic variants
Background: Single nucleotide polymorphisms (SNPs) and genes that exhibit presence/absence variation have provided informative marker sets for bacterial and viral genotyping. Iden...
Erin P. Price, John Inman-Bamber, Venugopal Thiruv...
JASIS
2000
143views more  JASIS 2000»
13 years 9 months ago
Discovering knowledge from noisy databases using genetic programming
s In data mining, we emphasize the need for learning from huge, incomplete and imperfect data sets (Fayyad et al. 1996, Frawley et al. 1991, Piatetsky-Shapiro and Frawley, 1991). T...
Man Leung Wong, Kwong-Sak Leung, Jack C. Y. Cheng
ICANNGA
2007
Springer
110views Algorithms» more  ICANNGA 2007»
14 years 3 months ago
Genetic Programming for Proactive Aggregation Protocols
Abstract. We present an approach for automated generation of proactive aggregation protocols using Genetic Programming. First a short introduction into aggregation and proactive pr...
Thomas Weise, Kurt Geihs, Philipp A. Baer
GECCO
2010
Springer
207views Optimization» more  GECCO 2010»
14 years 2 months ago
Generalized crowding for genetic algorithms
Crowding is a technique used in genetic algorithms to preserve diversity in the population and to prevent premature convergence to local optima. It consists of pairing each offsp...
Severino F. Galán, Ole J. Mengshoel
GECCO
2005
Springer
162views Optimization» more  GECCO 2005»
14 years 2 months ago
Discovering biological motifs with genetic programming
Choosing the right representation for a problem is important. In this article we introduce a linear genetic programming approach for motif discovery in protein families, and we al...
Rolv Seehuus, Amund Tveit, Ole Edsberg