| dc.contributor.author | Lou, Yuze | |
| dc.contributor.author | Cafarella, Michael | |
| dc.date.accessioned | 2022-11-15T15:58:17Z | |
| dc.date.available | 2022-11-15T15:58:17Z | |
| dc.date.issued | 2022-06-12 | |
| dc.identifier.isbn | 978-1-4503-9442-0 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/146449 | |
| dc.publisher | ACM|Workshop on Human-In-the-Loop Data Analytics | en_US |
| dc.relation.isversionof | https://doi.org/10.1145/3546930.3547494 | 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|Workshop on Human-In-the-Loop Data Analytics | en_US |
| dc.title | Enabling Useful Provenance in Scripting Languages with a Human-in-the-Loop | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Lou, Yuze and Cafarella, Michael. 2022. "Enabling Useful Provenance in Scripting Languages with a Human-in-the-Loop." | |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
| 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 | 2022-11-03T12:20:40Z | |
| dc.language.rfc3066 | en | |
| dc.rights.holder | ACM | |
| dspace.date.submission | 2022-11-03T12:20:40Z | |
| mit.license | PUBLISHER_POLICY | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |
