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DeepSampling: Selectivity Estimation with Predicted Error and Response Time
[article]
2020
arXiv
pre-print
The rapid growth of spatial data urges the research community to find efficient processing techniques for interactive queries on large volumes of data. Approximate Query Processing (AQP) is the most prominent technique that can provide real-time answer for ad-hoc queries based on a random sample. Unfortunately, existing AQP methods provide an answer without providing any accuracy metrics due to the complex relationship between the sample size, the query parameters, the data distribution, and
arXiv:2008.06831v1
fatcat:ms2dpb35fne4vfemvmj5kxn2oq