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dc.contributor.authorKipf, Andreas
dc.contributor.authorHorn, Dominik
dc.contributor.authorPfeil, Pascal
dc.contributor.authorMarcus, Ryan
dc.contributor.authorKraska, Tim
dc.date.accessioned2022-11-10T14:13:47Z
dc.date.available2022-11-10T14:13:47Z
dc.date.issued2022-06-17
dc.identifier.isbn978-1-4503-9377-5
dc.identifier.urihttps://hdl.handle.net/1721.1/146301
dc.publisherACM|Exploiting Artificial Intelligence Techniques for Dataen_US
dc.relation.isversionofhttps://doi.org/10.1145/3533702.3534912en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceACM|Exploiting Artificial Intelligence Techniques for Dataen_US
dc.titleLSI: A Learned Secondary Index Structureen_US
dc.typeArticleen_US
dc.identifier.citationKipf, Andreas, Horn, Dominik, Pfeil, Pascal, Marcus, Ryan and Kraska, Tim. 2022. "LSI: A Learned Secondary Index Structure."
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.identifier.mitlicensePUBLISHER_POLICY
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2022-11-03T01:05:42Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2022-11-03T01:05:43Z
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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