Query Optimization in NoSQL Databases Using an Enhanced Localized R-tree Index

Author:

Karras AristeidisORCID,Karras ChristosORCID,Samoladas Dimitrios,Giotopoulos Konstantinos C.ORCID,Sioutas SpyrosORCID

Publisher

Springer Nature Switzerland

Reference14 articles.

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2. Dayan, N., Athanassoulis, M., Idreos, S.: Optimal bloom filters and adaptive merging for LSM-trees. ACM Trans. Database Syst (TODS) 43(4), 1–48 (2018)

3. Gu, T., Feng, K., Cong, G., Long, C., Wang, Z., Wang, S.: A Reinforcement Learning Based R-Tree for Spatial Data Indexing in Dynamic Environments. arXiv preprint arXiv:2103.04541 (2021)

4. Haider, C., Wang, J., Aref, W.G.: The AI+ R-tree: An Instance-optimized R-tree. arXiv preprint arXiv:2207.00550 (2022)

5. He, J., Chen, H.: An LSM-tree index for spatial data. Algorithms 15(4), 113 (2022)

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