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A new approximate query engine based on intelligent capture and fast transformations of granulated data summaries

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cris.lastimport.scopus2024-02-12T19:35:16Z
dc.abstract.enWe outline the processes of intelligent creation and utilization of granulated data summaries in the engine aimed at fast approximate execution of analytical SQL statements. We discuss how to use the introduced engine for the purposes of ad-hoc data exploration over large and quickly increasing data collected in a heterogeneous or distributed fashion. We focus on mechanisms that transform input data summaries into result sets representing query outcomes. We also illustrate how our computational principles can be put together with other paradigms of scaling and harnessing data analytics.
dc.affiliationUniwersytet Warszawski
dc.contributor.authorŚlęzak, Dominik
dc.contributor.authorBetliński, Paweł
dc.contributor.authorGlick, Rick
dc.contributor.authorSynak, Piotr
dc.date.accessioned2024-01-24T18:00:38Z
dc.date.available2024-01-24T18:00:38Z
dc.date.issued2018
dc.description.financeNie dotyczy
dc.description.number2
dc.description.volume50
dc.identifier.doi10.1007/S10844-017-0471-6
dc.identifier.issn0925-9902
dc.identifier.urihttps://repozytorium.uw.edu.pl//handle/item/101707
dc.identifier.weblinkhttps://link.springer.com/article/10.1007%2Fs10844-017-0471-6
dc.languageeng
dc.pbn.affiliationcomputer and information sciences
dc.relation.ispartofJournal of Intelligent Information Systems
dc.relation.pages385–414
dc.rightsClosedAccess
dc.sciencecloudnosend
dc.subject.enBig data processing
dc.subject.enApproximate query processing
dc.subject.enData summarization
dc.subject.enGranular computing
dc.subject.enMachine intelligence
dc.titleA new approximate query engine based on intelligent capture and fast transformations of granulated data summaries
dc.typeJournalArticle
dspace.entity.typePublication