Modeling high-dimensional index structures using sampling
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
IEEE Transactions on Knowledge and Data Engineering
Toward an Accurate Analysis of Range Queries on Spatial Data
IEEE Transactions on Knowledge and Data Engineering
Multi-resolution algorithms for building spatial histograms
ADC '03 Proceedings of the 14th Australasian database conference - Volume 17
Analysis of predictive spatio-temporal queries
ACM Transactions on Database Systems (TODS)
Direct Mesh: a Multiresolution Approach to Terrain Visualization
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
Approximation techniques for spatial data
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Generalized multidimensional data mapping and query processing
ACM Transactions on Database Systems (TODS)
Exploring spatial datasets with histograms
Distributed and Parallel Databases
Summarizing level-two topological relations in large spatial datasets
ACM Transactions on Database Systems (TODS)
A Multiresolution Terrain Model for Efficient Visualization Query Processing
IEEE Transactions on Knowledge and Data Engineering
Multiscale histograms: summarizing topological relations in large spatial datasets
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Efficient temporal counting with bounded error
The VLDB Journal — The International Journal on Very Large Data Bases
A quantitative scale-setting approach for building multi-scale spatial databases
Computers & Geosciences
Spatial Selectivity Estimation Using Cumulative Density Wavelet Histogram
ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence
Estimating Selectivity for Current Query of Moving Objects Using Index-Based Histogram
ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence
Summarizing spatial relations – a hybrid histogram
APWeb'05 Proceedings of the 7th Asia-Pacific web conference on Web Technologies Research and Development
Spatial selectivity estimation using compressed histogram information
APWeb'05 Proceedings of the 7th Asia-Pacific web conference on Web Technologies Research and Development
Multiresolution query optimization in an online environment
APWeb'05 Proceedings of the 7th Asia-Pacific web conference on Web Technologies Research and Development
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Analysis of range queries on spatial (multidimensional) data is both important and challenging. Most previous analysis attempts have made certain simplifying assumptions about the datasets and/or queries to keep the analysis tractable. As a result, they may not be universally applicable.This paper proposes a set of five analysis techniques to estimate the selectivity and number of index nodes accessed in serving a range query. The underlying philosophy behind these techniques is to maintain an auxiliary data structure called a density file, whose creation is a one-time cost, which can be quickly consulted when the query is given. The schemes differ in what information is kept in the density file, how it is maintained, and how this information is looked up. It is shown that one of the proposed schemes, called Cumulative Density (CD), gives very accurate results (usually less than 5% error) using a diverse suite of point and rectangular datasets, that are uniform or skewed, and a wide range of query window parameters. The estimation takes a constant amount of time, which is typically lower than 1% of the time that it would take to execute the query, regardless of dataset or query window parameters.