Hybrid Deletion Policies for Case Base Maintenance
Hybrid Deletion Policies for Case Base Maintenance
复制标题
用于案例库维护的混合删除策略
DOI：
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发表时间：
2003
期刊：
影响因子：
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通讯作者：
E. Golobardes
中科院分区：
文献类型：
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作者：
Maria Salamó;E. Golobardes
案例存储维护在基于案例的推理系统中具有重要意义，主要有两个原因：(1)控制案例存储大小；(2)减少在基于案例的推理系统中可能产生不一致的不相关和冗余的实例。在本文中，我们提出了两种基于删除策略的案例记忆维护方法。这两种方法的基础都是粗糙集理论，但每一种方法都采用不同的策略来删除或维护案例。这些方法的主要目的是保持系统的能力，并尽可能减少案例内存的大小。使用不同域（大多数来自UCI存储库）进行的实验表明，这些约简技术保持了原始案例记忆所获得的能力。所得结果与已知的还原技术所得结果进行了比较。
Case memory maintenance in a Case-Based Reasoning system is important for two main reasons: (1) to control the case memory size; (2) to reduce irrelevant and redundant instances that may produce inconsistencies in the Case-Based Reasoning system. In this paper we present two approaches based on deletion policies to the maintenance of case memories. The foundations of both approaches are the Rough Sets Theory, but each one applies a different policy to delete or maintain cases. The main purpose of these methods is to maintain the competence of the system and reduce, as much as possible, the size of the case memory. 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 obtained are compared with those obtained using well-known reduction techniques.