VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository

VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository

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© 2019 Copyright held by the owner/author(s). Researchers currently rely on ad hoc datasets to train automated visualization tools and evaluate the efectiveness of visualization designs. These exemplars often lack the characteristics of real-world datasets, and their one-of nature makes it difcult t...

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Bibliographic Details
Main Authors: Hu, Kevin, Gaikwad, Snehalkumar "Neil" S., Hulsebos, Madelon, Bakker, Michiel A, Zgraggen, Emanuel, Hidalgo, Cesar Augusto, Kraska, Tim, Li, Guoliang, Satyanarayan, Arvind, Demiralp, Cagatay
Other Authors: Massachusetts Institute of Technology. Media Laboratory
Format: Article
Language:English
Published: Association for Computing Machinery (ACM) 2022
Online Access:https://hdl.handle.net/1721.1/132287.2

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https://hdl.handle.net/1721.1/132287.2

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