A Scalable Similarity Join Algorithm Based on MapReduce and LSH-Reference-Cited by-同舟云学术

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A Scalable Similarity Join Algorithm Based on MapReduce and LSH

Published:2022-05-23 Issue:3-4 Volume:50 Page:360-380
ISSN:0885-7458
Container-title:International Journal of Parallel Programming
language:en
Short-container-title:Int J Parallel Prog

Author:

Rivault Sébastien,Bamha Mostafa,Limet Sébastien,Robert Sophie

Publisher

Springer Science and Business Media LLC

Subject

Information Systems,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s10766-022-00733-6.pdf

Reference23 articles.

1. Alt, H., Godau, M.: Computing the fréchet distance between two polygonal curves. Int. J. Comput. Geomet. Appl. 05(1), 75–91 (1995)

2. Baldus, J., Bringmann, K.: A fast implementation of near neighbors queries for fréchet distance (GIS cup). In Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, SIGSPATIAL ’17, pp. 1–4. Association for Computing Machinery (2017)

3. Bamha, M.: An optimal and skew-insensitive join and multi-join algorithm for distributed architectures. In: Proceedings of the International Conference on Database and Expert Systems Applications (DEXA’2005). 22–26 August, Copenhagen, Danemark. LNCS, vol. 3588, pp. 616–625. Springer, New York (2005)

4. Bamha, M., Exbrayat, M.: Pipelining a skew-insensitive parallel join algorithm. Parallel Process. Lett. 13(3), 317–328 (2003)

5. Blanas, S., Patel, J.M., Ercegovac, V., Rao, J., Shekita, E. J., Tian, Y.: A comparison of join algorithms for log processing in mapreduce. In: Proceedings of the 2010 ACM SIGMOD International Conference on Management of Data, SIGMOD ’10, pp. 975–986. ACM, New York (2010)

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Similarity Joins of Sparse Features;Companion of the 2024 International Conference on Management of Data;2024-06-09

2. LSH SimilarityJoin Pattern in FastFlow;International Journal of Parallel Programming;2024-05-23

3. Scalable Joins over Big Data Streams: Actual and Future Research Trends;2022 IEEE International Conference on Data Mining Workshops (ICDMW);2022-11

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