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DEXA
2005
Springer
110views Database» more  DEXA 2005»
15 years 7 months ago
Intensional Encapsulations of Database Subsets via Genetic Programming
Finding intensional encapsulations of database subsets is the inverse of query evaluation. Whereas query evaluation transforms an intensional expression (the query) to its extensi...
Aybar C. Acar, Amihai Motro
ICDM
2005
IEEE
116views Data Mining» more  ICDM 2005»
15 years 7 months ago
Learning Functional Dependency Networks Based on Genetic Programming
Bayesian Network (BN) is a powerful network model, which represents a set of variables in the domain and provides the probabilistic relationships among them. But BN can handle dis...
Wing-Ho Shum, Kwong-Sak Leung, Man Leung Wong
82
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EUROGP
2000
Springer
15 years 5 months ago
Seeding Genetic Programming Populations
We show genetic programming (GP) populations can evolve under the influence of a Pareto multi-objective fitness and program size selection scheme, from "perfect" programs...
William B. Langdon, Peter Nordin
KAIS
2008
119views more  KAIS 2008»
15 years 1 months ago
An information-theoretic approach to quantitative association rule mining
Abstract. Quantitative Association Rule (QAR) mining has been recognized an influential research problem over the last decade due to the popularity of quantitative databases and th...
Yiping Ke, James Cheng, Wilfred Ng
GECCO
2006
Springer
180views Optimization» more  GECCO 2006»
15 years 5 months ago
Improving cooperative GP ensemble with clustering and pruning for pattern classification
A boosting algorithm based on cellular genetic programming to build an ensemble of predictors is proposed. The method evolves a population of trees for a fixed number of rounds an...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...