CDFShop: Exploring and Optimizing Learned Index Structures

dc.contributor.author	Marcus, Ryan
dc.contributor.author	Zhang, Emily
dc.contributor.author	Kraska, Tim
dc.date.accessioned	2022-10-04T15:17:07Z
dc.date.available	2022-10-04T15:17:07Z
dc.date.issued	2020-06-11
dc.identifier.isbn	978-1-4503-6735-6
dc.identifier.uri	https://hdl.handle.net/1721.1/145662
dc.publisher	ACM\|Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data	en_US
dc.relation.isversionof	https://doi.org/10.1145/3318464.3384706	en_US
dc.rights	Article 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.source	ACM\|Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data	en_US
dc.title	CDFShop: Exploring and Optimizing Learned Index Structures	en_US
dc.type	Article	en_US
dc.identifier.citation	Marcus, Ryan, Zhang, Emily and Kraska, Tim. 2020. "CDFShop: Exploring and Optimizing Learned Index Structures."
dc.contributor.department	Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.identifier.mitlicense	PUBLISHER_POLICY
dc.eprint.version	Final published version	en_US
dc.type.uri	http://purl.org/eprint/type/ConferencePaper	en_US
eprint.status	http://purl.org/eprint/status/NonPeerReviewed	en_US
dc.date.updated	2022-10-04T07:49:41Z
dc.language.rfc3066	en
dc.rights.holder	ACM
dspace.date.submission	2022-10-04T07:49:42Z
mit.license	PUBLISHER_POLICY
mit.metadata.status	Authority Work and Publication Information Needed	en_US