Unsupervised Entity Resolution With Blocking and Graph Algorithms

Entity resolution identifies all records in a database that refer to the same entity. In this paper, we propose an unsupervised framework for entity resolution using blocking and graph algorithms. The records are partitioned into blocks with no redundancy for efficiency improvement. For intra-block...

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Veröffentlicht in:	IEEE transactions on knowledge and data engineering Jg. 34; H. 3; S. 1501 - 1515
Hauptverfasser:	Zhang, Dongxiang, Li, Dongsheng, Guo, Long, Tan, Kian-Lee
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.03.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Bipartite graph Blocking Crowdsourcing Data processing Deep learning Graph theory graph-based algorithm Machine learning Measurement Nuclear power plants Redundancy Task analysis Training Unsupervised entity resolution
ISSN:	1041-4347, 1558-2191
Online-Zugang:	Volltext
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