A scalable MapReduce-based design of an unsupervised entity resolution system.

Hagan NKA, Talburt JR, Anderson KE, Hagan D

Open source

DOI: 10.3389/fdata.2024.1296552
Published: 2024
Container: Frontiers in big data
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fdata.2024.1296552,
  title = {A scalable MapReduce-based design of an unsupervised entity resolution system.},
  author = {Hagan NKA and Talburt JR and Anderson KE and Hagan D},
  year = {2024},
  journal = {Frontiers in big data},
  doi = {10.3389/fdata.2024.1296552},
  url = {https://doi.org/10.3389/fdata.2024.1296552}
}

RIS

TY  - JOUR
TI  - A scalable MapReduce-based design of an unsupervised entity resolution system.
AU  - Hagan NKA
AU  - Talburt JR
AU  - Anderson KE
AU  - Hagan D
PY  - 2024
JO  - Frontiers in big data
DO  - 10.3389/fdata.2024.1296552
UR  - https://doi.org/10.3389/fdata.2024.1296552
ER  -

APA

NKA, H., JR, T., KE, A., & D, H. (2024). A scalable MapReduce-based design of an unsupervised entity resolution system.. Frontiers in big data. https://doi.org/10.3389/fdata.2024.1296552

Source records

pubmed · retrieved 2026-09-25T05:38:00.232Z
europe-pmc · retrieved 2026-09-25T05:38:00.738Z
doaj · retrieved 2026-09-25T05:38:00.220Z