The design and analysis of spatial data structures
The design and analysis of spatial data structures
The R*-tree: an efficient and robust access method for points and rectangles
SIGMOD '90 Proceedings of the 1990 ACM SIGMOD international conference on Management of data
The SR-tree: an index structure for high-dimensional nearest neighbor queries
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
R-trees: a dynamic index structure for spatial searching
SIGMOD '84 Proceedings of the 1984 ACM SIGMOD international conference on Management of data
Similarity Indexing with the SS-tree
ICDE '96 Proceedings of the Twelfth International Conference on Data Engineering
Hilbert R-tree: An Improved R-tree using Fractals
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
STR: A simple and efficient algorithm for R-tree packing
STR: A simple and efficient algorithm for R-tree packing
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Modern database applications like geographic information systems, multimedia databases, and digital libraries dealing with huge volumes of high dimensional data, make use of multidimensional index structures. Among them, SR-tree has been shown to outperform the R-Tree and its variants and the SS-Tree. For static datasets, packed index structures provide better retrieval performance. This paper presents schemes for SR-Tree packing based on different pre-processing techniques. The results show that these schemes consistently outperform packed R-Tree and conventional SR-Tree structures in terms of storage space and query performance.