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Similarity Join over Array Data

Summary: First distributed array similarity join for multi-dimensional scientific data. Minimizes data transfer and network congestion, achieves load balancing without repartitioning/replication, and formalizes the operator with design, optimizations, and evaluation. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5336
Venue
SIGMOD
Year
2016
Pagerank
5.9554363e-05
Overall Rank
6,157 | 57.76%
DOI
10.1145/2882903.2915247

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{zhao_sigmod16,
        title = {{Similarity Join over Array Data}},
        author = {Zhao, Weijie and Rusu, Florin and Dong, Bin and Wu, Kesheng},
        series = {{SIGMOD} '16},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2882903.2915247},
        url = {https://dl.acm.org/doi/10.1145/2882903.2915247},
        year = {2016}
}

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