An efficient hybridized index technique for moving object database

Author:

Rslan Esraa,Abdelhameed Hala,Ezzat Ehab

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computers in Earth Sciences,Computer Science Applications,Geography, Planning and Development

Reference20 articles.

1. Choi, W., Moon, B., & Lee, S. (2004). Adaptive cell-based index for moving objects. Data & Knowledge Engineering, 48(1), 75–101.

2. Sidlauskas, D., Saltenis, S., & Jensen, C. S. (2014). Processing of extreme moving-object update and query workloads in main memory. The VLDB Journal The VLDB Journal: The International Journal on Very Large Data Bases, 23(5), 817–841.

3. Tao, Y., Papadias, D., & Sun, J. (2003). The TPR*-tree: An optimized spatio-temporal access method for predictive queries. In Proceedings of the 29th international conference on very large data bases-Volume 29 (pp. 790–801). VLDB Endowment.

4. Beckmann, N., Kriegel, H.-P., Schneider, R., & Seeger, B. (1990). The R*-tree: An efficient and robust access method for points and rectangles. In Acm Sigmod record (Vol. 19, pp. 322–331, Vol. 2). ACM.

5. Mokbel, M. F., Ghanem, T. M., & Aref, W. G. (2003). Spatio-temporal access methods. IEEE Data Engineering Bulletin, 26(2), 40–49.

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