Improving record matching in imprecise and uncertain datasets
Improving record matching in imprecise and uncertain datasets
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DOI：
10.1093/llc/fqs028
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发表时间：
2012-12
期刊：
影响因子：
--
通讯作者：
David Croft
中科院分区：
文献类型：
--
作者：
David Croft
博物馆藏品是一个极具挑战性的搜索空间。本文提出了一种新的方法，共指记录识别，这是适用于跨多个单独的集合。所提出的方法是为了适合使用，尽管高度不精确/不确定的属性值的记录。人们希望这可以通过从概率记录链接，文档分类和模糊聚类领域的方面的组合来实现。.................................................................................................................................................................................
Museum collections represent a highly challenging search space. This article proposes a novel approach for co-referent record identification which is suitable for use across multiple separate collections. The proposed approach is intended to be suitable for use despite highly imprecise/uncertain attribute values in the records. It is hoped that this can be achieved through a combination of aspects from the fields of probabillistic record linkage, document classification, and fuzzy clustering. .................................................................................................................................................................................