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A Bayesian approach to estimating the selectivity of conjunctive predicates

dc.contributor.authorHeimel, Max
dc.contributor.authorMarkl, Volker
dc.contributor.authorMurthy, Keshava
dc.contributor.editorFreytag, Johann-Christoph
dc.contributor.editorRuf, Thomas
dc.contributor.editorLehner, Wolfgang
dc.contributor.editorVossen, Gottfried
dc.date.accessioned2019-02-20T10:28:17Z
dc.date.available2019-02-20T10:28:17Z
dc.date.issued2009
dc.description.abstractCost-based optimizers in relational databases make use of data statistics to estimate intermediate result cardinalities. Those cardinalities are needed to estimate access plan costs in order to choose the cheapest plan for executing a query. Since statisten
dc.identifier.isbn978-3-88579-238-3
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/20492
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofDatenbanksysteme in Business, Technologie und Web (BTW) – 13. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS)
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-144
dc.titleA Bayesian approach to estimating the selectivity of conjunctive predicatesen
dc.typeText/Conference Paper
gi.citation.endPage56
gi.citation.publisherPlaceBonn
gi.citation.startPage47
gi.conference.date2.-6. März 2009
gi.conference.locationMünster
gi.conference.sessiontitleRegular Research Papers

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