19 search results - page 1 / 4 » Discovering knowledge from noisy databases using genetic pro... |
JASIS
2000
13 years 4 months ago
2000
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...
BMCBI
2008
13 years 5 months ago
2008
Background: Many common disorders have multiple genetic components which convey increased susceptibility. SNPs have been used to identify genetic components which are associated w...
ICDM
2002
IEEE
13 years 10 months ago
2002
IEEE
This paper describes a novel data mining approach that employs evolutionary programming to discover knowledge represented in Bayesian networks. There are two different approaches ...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
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...
SIGMOD
2008
ACM
14 years 5 months ago
2008
ACM
Discovering a bucket order B from a collection of possibly noisy full rankings is a fundamental problem that relates to various applications involving rankings. Informally, a buck...