Skip to main content
Article thumbnail
Location of Repository

SCHRAEFEL M.: Trust me, i’m partially right: Incremental visualization lets analysts explore large datasets faster

By Danyel Fisher, Igor Popov, Steven M. Drucker and Mc Schraefel

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. Author Keywords Incremental visualizations, large data, exploratory dat

Topics: Miscellaneous. H.2.8. Database Applications, Data mining. General Terms Experimentation, Human Factors
Year: 2013
OAI identifier: oai:CiteSeerX.psu:10.1.1.353.3448
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://citeseerx.ist.psu.edu/v... (external link)
  • http://research.microsoft.com/... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.