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DMIN
2006
142views Data Mining» more  DMIN 2006»
15 years 6 months ago
Parallel Hybrid Clustering using Genetic Programming and Multi-Objective Fitness with Density (PYRAMID)
Clustering is the process of locating patterns in large data sets. It is an active research area that provides value to scientific as well as business applications. Practical clust...
Junping Sun, William Sverdlik, Samir Tout
ICEC
1994
37views more  ICEC 1994»
15 years 6 months ago
A Method for Utilizing Diploid/Dominance in Genetic Search
homologous alleles seemingly compete prior to manifestation in the observed phenotype, will be referred to as sub-phenotype interaction.A method is proposed for implementing diploi...
F. Greene
GECCO
2008
Springer
104views Optimization» more  GECCO 2008»
15 years 5 months ago
Protein-protein functional association prediction using genetic programming
Determining if a group of proteins are functionally associated among themselves is an open problem in molecular biology. Within our long term goal of applying Genetic Programming ...
Beatriz García, Ricardo Aler, Agapito Ledez...
GECCO
2008
Springer
115views Optimization» more  GECCO 2008»
15 years 5 months ago
A genetic programming approach to business process mining
The aim of process mining is to identify and extract process patterns from data logs to reconstruct an overall process flowchart. As business processes become more and more comple...
Chris J. Turner, Ashutosh Tiwari, Jörn Mehnen
134
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GECCO
2008
Springer
192views Optimization» more  GECCO 2008»
15 years 5 months ago
Non-linear factor model for asset selection using multi objective genetic programming
Investors vary with respect to their expected return and aversion to associated risk, and hence also vary in their performance expectations of the stock market portfolios they hol...
Ghada Hassan