| Document Date: 2014-09-29 11:40:17
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City Dresden / BERN / Seoul / subsampled using BERN / / Company IBM / RP / ACM / / Country United States / Korea / / Currency pence / IDR / / / Event FDA Phase / / Facility Germany IBM Almaden Research Center / / IndustryTerm database systems / slower algorithms / nth processing step / samplemaintenance algorithms / data stream processing / latter algorithms / online sample materialization / different systems / data mining / data-mining tasks / different algorithms / actual processing times / transactional database systems / resizing algorithm / reservoir sampling algorithm / stream-sampling algorithm / specific sampling algorithms / passive algorithm / numerical optimization algorithms / database sampling algorithms / / Organization Germany IBM Almaden Research Center San Jose / BSP RPR / RP BSP / VLDB Endowment / Very Large Data Base Endowment / Universitat / / Person Rainer Gemulla Wolfgang Lehner Peter / Peter J. Haas / / Position approximate cost model for the resizing algorithm / / Product T1 / R0 / B1 / / ProgrammingLanguage XML / / ProvinceOrState California / / Technology DV-sampling algorithms / CAR algorithm / sampling algorithms / XML / DVsampling algorithms / relational database / two DV-sampling algorithms / underlying algorithms / existing samplemaintenance algorithms / stream-sampling algorithm / two algorithms / latter algorithms / sampling algorithm / resizing algorithm / reservoir sampling algorithm / adapted DV-sampling algorithm / Java / dataset R. The algorithm / 3.1 Algorithm / database sampling algorithms / RDBMS / RSR algorithm / BSP algorithm / data mining / hypothesized algorithm / approximate cost formulas for this algorithm / time These algorithms / specific sampling algorithms / Comparing algorithms / different algorithms / numerical optimization algorithms / /
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A Dip in the Reservoir: Maintaining Sample Synopses of Evolving Datasets Rainer Gemulla Wolfgang Lehner