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107
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ICDM
2005
IEEE
116views Data Mining» more  ICDM 2005»
15 years 9 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
EUROGP
2000
Springer
15 years 7 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
149
Voted
SDM
2007
SIAM
147views Data Mining» more  SDM 2007»
15 years 4 months ago
Constraint-Based Pattern Set Mining
Local pattern mining algorithms generate sets of patterns, which are typically not directly useful and have to be further processed before actual application or interpretation. Ra...
Luc De Raedt, Albrecht Zimmermann
JASIS
2000
143views more  JASIS 2000»
15 years 3 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
138
Voted
EVOW
2009
Springer
15 years 1 months ago
Evolving High-Speed, Easy-to-Understand Network Intrusion Detection Rules with Genetic Programming
An ever-present problem in intrusion detection technology is how to construct the patterns of (good, bad or anomalous) behaviour upon which an engine have to make decisions regardi...
Agustín Orfila, Juan M. Estévez-Tapi...