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dc.contributor.authorKraska, Tim
dc.date.accessioned2022-07-18T14:41:02Z
dc.date.available2021-09-20T18:21:36Z
dc.date.available2022-07-18T14:41:02Z
dc.date.issued2018
dc.identifier.urihttps://hdl.handle.net/1721.1/132273.2
dc.description.abstract© 2018 VLDB Endowment. In order to democratize data science, we need to fundamentally rethink the current analytics stack, from the user interface to the “guts.“ Most importantly, enabling a broader range of users to unfold the potential of (their) data requires a change in the interface and the “protection“ we offer them. On the one hand, visual interfaces for data science have to be intuitive, easy, and interactive to reach users without a strong background in computer science or statistics. On the other hand, we need to protect users from making false discoveries. Furthermore, it requires that technically involved (and often boring) tasks have to be automatically done by the system so that the user can focus on contributing their domain expertise to the problem. In this paper, we present Northstar, the Interactive Data Science System, which we have developed over the last 4 years to explore designs that make advanced analytics and model building more accessible.en_US
dc.language.isoen
dc.publisherVLDB Endowmenten_US
dc.relation.isversionof10.14778/3229863.3240493en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourceVLDB Endowmenten_US
dc.titleNorthstar: an interactive data science systemen_US
dc.typeArticleen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.relation.journalProceedings of the VLDB Endowmenten_US
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.updated2021-01-11T14:27:29Z
dspace.orderedauthorsKraska, Ten_US
dspace.date.submission2021-01-11T14:27:30Z
mit.journal.volume11en_US
mit.journal.issue12en_US
mit.licensePUBLISHER_CC
mit.metadata.statusPublication Information Neededen_US


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