Trust me, I'm partially right: incremental visualization lets analysts explore large datasets faster
Trust me, I'm partially right: incremental visualization lets analysts explore large datasets faster
Queries over large scale (petabyte) data bases often mean waiting overnight for a result to come back. Scale costs time. Such time also means that potential avenues of exploration are ignored because the costs are perceived to be too high to run or even propose them. With sampleAction we have explored whether interaction techniques to present query results running over only incremental samples can be presented as sufficiently trustworthy for analysts both to make closer to real time decisions about their queries and to be more exploratory in their questions of the data. Our work with three teams of analysts suggests that we can indeed accelerate and open up the query process with such incremental visualizations.
Fisher, Danyel
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Popov, Igor
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Drucker, Steven
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schraefel, monica
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5 May 2012
Fisher, Danyel
0ca3e135-384b-4e31-8f28-e7ab09463a9a
Popov, Igor
517af6d0-e80b-45fd-89ef-9da71a09bd6f
Drucker, Steven
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schraefel, monica
ac304659-1692-47f6-b892-15113b8c929f
Fisher, Danyel, Popov, Igor, Drucker, Steven and schraefel, monica
(2012)
Trust me, I'm partially right: incremental visualization lets analysts explore large datasets faster.
CHI 2012, , Austin, United States.
05 - 12 May 2012.
Record type:
Conference or Workshop Item
(Paper)
Abstract
Queries over large scale (petabyte) data bases often mean waiting overnight for a result to come back. Scale costs time. Such time also means that potential avenues of exploration are ignored because the costs are perceived to be too high to run or even propose them. With sampleAction we have explored whether interaction techniques to present query results running over only incremental samples can be presented as sufficiently trustworthy for analysts both to make closer to real time decisions about their queries and to be more exploratory in their questions of the data. Our work with three teams of analysts suggests that we can indeed accelerate and open up the query process with such incremental visualizations.
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chi2012_interactive.pdf
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More information
Published date: 5 May 2012
Venue - Dates:
CHI 2012, , Austin, United States, 2012-05-05 - 2012-05-12
Organisations:
Web & Internet Science, Agents, Interactions & Complexity
Identifiers
Local EPrints ID: 273149
URI: http://eprints.soton.ac.uk/id/eprint/273149
PURE UUID: cd5fd92b-1a39-4c27-9d6f-83080f342307
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Date deposited: 31 Jan 2012 10:47
Last modified: 15 Mar 2024 03:16
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Contributors
Author:
Danyel Fisher
Author:
Igor Popov
Author:
Steven Drucker
Author:
monica schraefel
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