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Data mining technique with experience-layered gene pool

机译:具有经验分层基因池的数据挖掘技术

摘要

Roughly described, a computer-implemented evolutionary data mining system includes a memory storing a candidate gene database in which each candidate individual has a respective fitness estimate; a gene pool processor which tests individuals from the candidate gene pool on training data and updates the fitness estimate associated with the individuals in dependence upon the tests; and a gene harvesting module providing for deployment selected ones of the individuals from the gene pool, wherein the gene pool processor includes a competition module which selects individuals for discarding from the gene pool in dependence upon both their updated fitness estimate and their testing experience level. Preferably the gene database has an elitist pool containing multiple experience layers, and the competition module causes individuals to compete only with other individuals in their same experience layer.
机译:粗略地描述,计算机实现的进化数据挖掘系统包括存储候选基因数据库的存储器,其中每个候选个体具有各自的适应性估计;一个基因库处理器,根据训练数据对候选基因库中的个体进行测试,并根据测试结果更新与个体相关的适应性估计;所述基因库处理器包括竞争模块,所述竞争模块根据其更新的适应性估计和测试经验水平来选择要从所述基因库中丢弃的个体。优选地,基因数据库具有包含多个经验层的精英人才库,并且竞争模块使个体仅与他们在相同经验层中的其他个体竞争。

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