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Big data exploration requires collaboration between visualization and data infrastructures.

. HILDA@SIGMOD, page 16. ACM, (2016)

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Progressive Data Analysis and Visualization (Dagstuhl Seminar 18411)., , , and . Dagstuhl Reports, 8 (10): 1-40 (2018)Incremental, approximate database queries and uncertainty for exploratory visualization.. LDAV, page 73-80. IEEE Computer Society, (2011)Revisiting Whittaker & Sidner's "email overload" ten years later., , , and . CSCW, page 309-312. ACM, (2006)A Model of Multi-Scale Perceptual Organization in Information Graphics., and . INFOVIS, page 23-30. IEEE Computer Society, (2003)Interactions with big data analytics., , , and . Interactions, 19 (3): 50-59 (2012)Collaborative Brushing and Linking for Co-located Visual Analytics of Document Collections., and . Comput. Graph. Forum, 28 (3): 1031-1038 (2009)Picturing Usenet: Mapping Computer-Mediated Collective Action., , , and . J. Comput. Mediat. Commun., (2005)Leveraging the Crowd: How 48, 000 Users Helped Improve Lync Performance., , , , , and . IEEE Software, 30 (4): 38-45 (2013)What Users Don't Expect about Exploratory Data Analysis on Approximate Query Processing Systems., and . HILDA@SIGMOD, page 9:1-9:4. ACM, (2017)Friends, foes, and fringe: norms and structure in political discussion networks., , and . DG.O, volume 151 of ACM International Conference Proceeding Series, page 412-417. Digital Government Research Center, (2006)