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dc.contributor.authorBertsimas, Dimitris
dc.contributor.authorDigalakis, Vassilis
dc.date.accessioned2022-07-27T17:12:47Z
dc.date.available2022-07-27T17:12:47Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/144082
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionof10.1109/TKDE.2021.3103819en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcearXiven_US
dc.titleFrequency Estimation in Data Streams: Learning the Optimal Hashing Schemeen_US
dc.typeArticleen_US
dc.identifier.citationBertsimas, Dimitris and Digalakis, Vassilis. 2021. "Frequency Estimation in Data Streams: Learning the Optimal Hashing Scheme." IEEE Transactions on Knowledge and Data Engineering.
dc.contributor.departmentSloan School of Management
dc.contributor.departmentMassachusetts Institute of Technology. Operations Research Center
dc.relation.journalIEEE Transactions on Knowledge and Data Engineeringen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2022-07-27T17:01:29Z
dspace.orderedauthorsBertsimas, D; Digalakis, Ven_US
dspace.date.submission2022-07-27T17:01:30Z
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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