Transforming Pairwise Duplicates to Entity Clusters for High-quality Duplicate Detection

IF 1.5 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS ACM Journal of Data and Information Quality Pub Date : 2020-01-23 DOI:10.1145/3352591
DraisbachUwe, ChristenPeter, NaumannFelix
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引用次数: 19

Abstract

Duplicate detection algorithms produce clusters of database records, each cluster representing a single real-world entity. As most of these algorithms use pairwise comparisons, the resulting (trans...
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将成对重复转换为实体簇实现高质量重复检测
重复检测算法产生数据库记录的集群,每个集群代表一个真实世界的实体。由于这些算法大多数使用两两比较,结果(trans…
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来源期刊
ACM Journal of Data and Information Quality
ACM Journal of Data and Information Quality COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
4.10
自引率
4.80%
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0
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