Auto-FuzzyJoin-Reference-Cited by-同舟云学术

Auto-FuzzyJoin

Published:2021-06-09 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2021 International Conference on Management of Data
language:
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Author:

Li Peng¹,Cheng Xiang¹,Chu Xu¹,He Yeye²,Chaudhuri Surajit²

Affiliation:

1. Georgia Institute of Technology, Atlanta, GA, USA

2. Microsoft Research, Redmond, WA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3448016.3452824

Reference52 articles.

1. [n.d.]. Alteryx: Fuzzy Match Documentation. https://help.alteryx.com/2018.2/ FuzzyMatch.htm. [n.d.]. Alteryx: Fuzzy Match Documentation. https://help.alteryx.com/2018.2/ FuzzyMatch.htm.

2. [n.d.]. Benchmark datasets for entity resolution. https://dbs.unileipzig. de/en/research/projects/object_matching/fever/benchmark_datasets_ for_entity_resolution. [n.d.]. Benchmark datasets for entity resolution. https://dbs.unileipzig. de/en/research/projects/object_matching/fever/benchmark_datasets_ for_entity_resolution.

3. [n.d.]. Excel: Fuzzy Lookup Add-In. https://www.microsoft.com/en-us/download/ details.aspx?id=15011. ([n. d.]). [n.d.]. Excel: Fuzzy Lookup Add-In. https://www.microsoft.com/en-us/download/ details.aspx?id=15011. ([n. d.]).

4. [n.d.]. Fuzzy Lookup in SQL Server. https://docs.microsoft.com/en-us/sql/ integration-services/data-flow/transformations/fuzzy-lookup-transformation. [n.d.]. Fuzzy Lookup in SQL Server. https://docs.microsoft.com/en-us/sql/ integration-services/data-flow/transformations/fuzzy-lookup-transformation.

5. [n.d.]. OpenRefine Fuzzy Reconciliation. https://github.com/OpenRefine/ OpenRefine/wiki/Reconciliation. [n.d.]. OpenRefine Fuzzy Reconciliation. https://github.com/OpenRefine/ OpenRefine/wiki/Reconciliation.

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