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Disk based pay-as-you-go record linkage

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References

  1. Hou B, Chen Q, Chen Z, Nafa Y, Li Z. r-HUMO: a risk-aware human-machine cooperation framework for entity resolution with quality guarantees. IEEE Transactions on Knowledge and Data Engineering, 2020, 32(2): 347–359

    Article  Google Scholar 

  2. Christen P. Automatic record linkage using seeded nearest neighbour and support vector machine classification. In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 2008, 151–159

  3. Whang S E, Marmaros D, Garcia-Molina H. Pay-as-you-go entity resolution. IEEE Transactions on Knowledge and Data Engineering, 2013, 25(5): 1111–1124

    Article  Google Scholar 

  4. Papenbrock T, Heise A, Naumann F. Progressive duplicate detection. IEEE Transactions on Knowledge and Data Engineering, 2015, 27(5): 1316–1329

    Article  Google Scholar 

  5. Sun C C, Shen D R, Li Y K, Xiao Y Y, Ma J H. Research on record pair ranking for entity resolution with time constraint. Journal of Software, 2020, 31(3): 695–709

    Google Scholar 

  6. Altowim Y, Kalashnikov D V, Mehrotra S. Progressive approach to relational entity resolution. Proceedings of the VLDB Endowment, 2014, 7(11): 999–1010

    Article  Google Scholar 

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (Grant Nos. 62002262, 61672142, 61602103, 62072086, 62072084), and the National Key Research and Development Project of China (2018YFB1003404).

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Authors and Affiliations

  1. Key Laboratory of Computer Vision and System (Ministry of Education), Tianjin University of Technology, Tianjin, 300384, China

    Chenchen Sun

  2. College of Intelligence and Computing, Tianjin University, Tianjin, 300350, China

    Chenchen Sun

  3. School of Computer Science and Engineering, Northeastern University, Shenyang, 110189, China

    Derong Shen

Authors
  1. Chenchen Sun
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  2. Derong Shen
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Correspondence to Chenchen Sun.

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Sun, C., Shen, D. Disk based pay-as-you-go record linkage. Front. Comput. Sci. 16, 164340 (2022). https://doi.org/10.1007/s11704-021-1130-1

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  • DOI: https://doi.org/10.1007/s11704-021-1130-1

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