Data mining

One iteration CHC algorithm for learning Bayesian networks: an effective and efficient algorithm for high dimensional problems
It is well known that learning Bayesian networks from data is an NP-hard problem. For this reason, usually metaheuristics or …
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Learning Bayesian networks by hill climbing: efficient methods based on progressive restriction of the neighborhood
Learning Bayesian networks is known to be an NP-hard problem and that is the reason why the application of a heuristic search has …
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Mining the ESROM: A study of breeding value classification in Manchego sheep by means of attribute selection and construction
Manchego sheep breeding represents an important factor in the economy in the region of Castilla-La Mancha, Spain. For this reason, the …
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Initial breeding value prediction on Manchego sheep by using rule-based systems
In this paper we present an application of rule-based expert systems to a farming problem. Concretely the prediction of the breeding …
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