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Index structures for flexible querying in fuzzy spatial databases
Date
2004-07-29
Author
Sozer, A
Yazıcı, Adnan
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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Database systems can be effective only if the data are properly handled at the physical level. Therefore, it is important to develop an effective spatial and aspatial indexing technique to facilitate flexible spatial and/or aspatial querying for spatial databases. In this study we adapt a number of spatial index structures, such as Multi-level grid file (MLGF), G-tree, R-tree, and R*-tree, for fuzzy spatial databases and compare the performances of these structures for various flexible queries.
Subject Keywords
Spatial databases
,
Indexing
,
Uncertainty
,
Database systems
,
Spatial indexes
,
Data engineering
,
Geographic Information Systems
,
Lakes
,
Soil measurements
,
Natural languages
URI
https://hdl.handle.net/11511/62677
DOI
https://doi.org/10.1109/fuzzy.2004.1375796
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Department of Computer Engineering, Conference / Seminar
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A. Sozer and A. Yazıcı, “Index structures for flexible querying in fuzzy spatial databases,” 2004, p. 559, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/62677.