Instance selection for big data based on locally sensitive hashing and double-voting mechanism
Author:
Funder
Key R&D program of science and technology foundation of Hebei Province
Natural Science Foundation of Hebei Province
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s43674-022-00033-z.pdf
Reference46 articles.
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3. Bahmani B, Goel A, Shinde R (2012) Efficient distributed locality sensitive hashing. In: Proceedings of the 21st ACM international conference on Information and knowledge management, pp 2174–2178
4. Cao Y, Qi H, Zhou W et al (2018) Binary hashing for approximate nearest neighbor search on big data: a survey. IEEE Access 6:2039–2054
5. Carbonera JL, Abel M (2020) An attraction-based approach for instance selection. In: 2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI), 2020, pp. 1053–1058. https://doi.org/10.1109/ICTAI50040.2020.00161
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