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Deleting and Building Sort Out Techniques for Case Base Maintenance

机译:删除和构建案例基础维护的分类技术

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Early work on case based reasoning reported in the literature shows the importance of case base maintenance for successful practical systems. Different criteria to the maintenance task have been used for more than half a century. In this paper we present different sort out techniques for case base maintenance. All the sort out techniques proposed are based on the same principle: a Rough Sets competence model. First of all, we present sort out reduction techniques based on deletion of cases. Next, we present sort out techniques that build new reduced competent case memories based on the original ones. The main purpose of these methods is to maintain the competence and reduce, as much as possible, its size. Experiments using different domains, most of them from the UCI repository, show that the reduction techniques maintain the competence obtained by the original case memory. The results are analysed with those obtained using well-known reduction techniques.
机译:在文献中报告的基于案例推理的早期工作表明了案例基础维护对成功的实际系统的重要性。维护任务的不同标准已超过半个多世纪。在本文中,我们为案例基础维护提供了不同的分类技术。所提出的所有分类技术都基于相同的原理:粗糙设定能力模型。首先,我们基于缺失案例出现了减少减少技术。接下来,我们提出了基于原始技术构建新的具有新的能力案例存储器的技术。这些方法的主要目的是尽可能保持竞争力并减少其尺寸。使用不同域的实验,其中大多数来自UCI存储库,表明减少技术保持了原始案例记忆所获得的能力。用使用众所周知的减少技术获得的结果分析结果。

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