SWOOP: top-k similarity joins over set streams

Willi Mann, Nikolaus Augsten, Christian S. Jensen, Mateusz Pawlik

Open source

DOI: 10.1007/s00778-024-00880-x
Published: 2024-12-23
Container: The VLDB Journal
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s00778-024-00880-x,
  title = {SWOOP: top-k similarity joins over set streams},
  author = {Willi Mann and Nikolaus Augsten and Christian S. Jensen and Mateusz Pawlik},
  year = {2024},
  journal = {The VLDB Journal},
  doi = {10.1007/s00778-024-00880-x},
  url = {https://doi.org/10.1007/s00778-024-00880-x}
}

RIS

TY  - JOUR
TI  - SWOOP: top-k similarity joins over set streams
AU  - Willi Mann
AU  - Nikolaus Augsten
AU  - Christian S. Jensen
AU  - Mateusz Pawlik
PY  - 2024
JO  - The VLDB Journal
DO  - 10.1007/s00778-024-00880-x
UR  - https://doi.org/10.1007/s00778-024-00880-x
ER  -

APA

Mann, W., Augsten, N., Jensen, C. S., & Pawlik, M. (2024). SWOOP: top-k similarity joins over set streams. The VLDB Journal. https://doi.org/10.1007/s00778-024-00880-x

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crossref · retrieved 2026-09-26T00:12:22.898Z