ACR-Tree: Constructing R-Trees Using Deep Reinforcement Learning
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-30637-2_6
Reference18 articles.
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2. Beckmann, N., Kriegel, H.P., Schneider, R., Seeger, B.: The R*-tree: an efficient and robust access method for points and rectangles. In: Proceedings of the 1990 ACM SIGMOD International Conference on Management of Data, pp. 322–331 (1990)
3. Beckmann, N., Seeger, B.: A revised R*-tree in comparison with related index structures. In: Proceedings of the 2009 ACM SIGMOD International Conference on Management of Data, pp. 799–812 (2009)
4. García R, Y.J., López, M.A., Leutenegger, S.T.: A greedy algorithm for bulk loading R-trees. In: Proceedings of the 6th ACM International Symposium on Advances in geoGraphic Information Systems, pp. 163–164 (1998)
5. Guttman, A.: R-trees: a dynamic index structure for spatial searching. In: Proceedings of the 1984 ACM SIGMOD International Conference on Management of Data, pp. 47–57 (1984)
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