SIGN IN
SIGN UP
CrowdDB: answering queries with crowdsourcing
Full Text:
PDF
Buy this Article
Authors:
Michael J. Franklin
UC Berkeley, Berkeley, CA, USA
Donald Kossmann
ETH Zurich, Zurich, Switzerland
Tim Kraska
UC Berkeley, Berkeley, CA, USA
Sukriti Ramesh
ETH Zurich, Zurich, Switzerland
Reynold Xin
UC Berkeley, Berkeley, CA, USA
2011 Article
Bibliometrics
· Downloads (6 Weeks): 26
· Downloads (12 Months): 341
· Downloads (cumulative): 795
· Citation Count: 38
Published in:
· Proceeding
SIGMOD '11
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Pages 61-72
ACM
New York, NY
, USA
©2011
table of contents
ISBN: 978-1-4503-0661-4
doi>
10.1145/1989323.1989331
Tools and Resources
Buy this Article
Request Permissions
TOC Service:
Email
RSS
Save to Binder
Export Formats:
BibTeX
EndNote
ACM Ref
Upcoming Conference:
SIGMOD/PODS'13
Share:
|
Tags:
architecture
crowd
crowdsourcing
database
design
human factors
hybrid system
languages
performance
query processing
systems
Feedback
|
Switch to
single page view
(no tabs)
**Javascript is not enabled and is required for the "tabbed view" or switch to the
single page view
**
Powered by
The ACM Guide to Computing Literature
All Tags
Export Formats
Save to Binder