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Parallel similarity joins on massive high‐dimensional data using MapReduce

Research article (Concurrency and Computation Practice and Experience, 2015) · cited 20× · AI/ML
academia openalex:W1950295237
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Parallel similarity joins on massive high‐dimensional data using MapReduce

Summary

Parallel similarity joins on massive high‐dimensional data using MapReduce is a scholarly article[1].

Key Facts

  • Parallel similarity joins on massive high‐dimensional data using MapReduce's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Parallel similarity joins on massive high‐dimensional data using MapReduce. Retrieved May 24, 2026, from https://4ort.xyz/entity/parallel-similarity-joins-on-massive-highdimensional-data-using-mapreduce
MLA “Parallel similarity joins on massive high‐dimensional data using MapReduce.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/parallel-similarity-joins-on-massive-highdimensional-data-using-mapreduce.
BibTeX @misc{4ortxyz_parallel-similarity-joins-on-massive-highdimensional-data-using-mapreduce_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Parallel similarity joins on massive high‐dimensional data using MapReduce}}, year = {2026}, url = {https://4ort.xyz/entity/parallel-similarity-joins-on-massive-highdimensional-data-using-mapreduce}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Parallel similarity joins on massive high‐dimensional data using MapReduce — https://4ort.xyz/entity/parallel-similarity-joins-on-massive-highdimensional-data-using-mapreduce (retrieved 2026-05-24)

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