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» Predicting mining activity with parallel genetic algorithms
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ICDCS
2005
IEEE
14 years 1 months ago
Characterizing and Predicting TCP Throughput on the Wide Area Network
DualPats exploits the strong correlation between TCP throughput and flow size, and the statistical stability of Internet path characteristics to accurately predict the TCP throug...
Dong Lu, Yi Qiao, Peter A. Dinda, Fabián E....
ICDM
2002
IEEE
91views Data Mining» more  ICDM 2002»
14 years 18 days ago
Mining Molecular Fragments: Finding Relevant Substructures of Molecules
We present an algorithm to find fragments in a set of molecules that help to discriminate between different classes of, for instance, activity in a drug discovery context. Instea...
Christian Borgelt, Michael R. Berthold
CIBCB
2009
IEEE
13 years 8 months ago
A framework for the application of decision trees to the analysis of SNPs data
Data mining is the analysis of experimental datasets to extract trends and relationships that can be meaningful for the user. In genetic studies these techniques have revealed inte...
Linda Fiaschi, Jonathan M. Garibaldi, Natalio Kras...
BMCBI
2004
122views more  BMCBI 2004»
13 years 7 months ago
A comprehensive comparison of comparative RNA structure prediction approaches
Background: An increasing number of researchers have released novel RNA structure analysis and prediction algorithms for comparative approaches to structure prediction. Yet, indep...
Paul P. Gardner, Robert Giegerich
ICANN
2001
Springer
14 years 3 days ago
A Computational Intelligence Approach to Optimization with Unknown Objective Functions
In many practical engineering design problems, the form of objective function is not given explicitly in terms of design variables. Given the value of design variables, under this ...
Hirotaka Nakayama, Masao Arakawa, Rie Sasaki