SIGN IN
SIGN UP
Finding topic trends in digital libraries
Full Text:
PDF
Get this Article
Authors:
Levent Bolelli
Google Inc., New York, NY, USA
Seyda Ertekin
The Pennsylvania State University, University Park, PA, USA
Ding Zhou
Facebook Inc., Palo Alto, CA, USA
C. Lee Giles
The Pennsylvania State University, University Park, PA, USA
2009 Article
Short paper
Bibliometrics
· Downloads (6 Weeks): 1
· Downloads (12 Months): 34
· Downloads (cumulative): 467
· Citation Count: 5
Published in:
· Proceeding
JCDL '09
Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries
Pages 69-72
ACM
New York, NY
, USA
©2009
table of contents
ISBN: 978-1-60558-322-8
doi>
10.1145/1555400.1555411
Tools and Resources
Buy this Article
Recommend the ACM DL
to your organization
Request Permissions
TOC Service:
Email
RSS
Save to Binder
Export Formats:
BibTeX
EndNote
ACM Ref
Share:
|
Author Tags
algorithms
data mining
design
experimentation
latent dirichlet allocation
topic detection
trend analysis
Contact Us
|
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
**
Advertisements
Powered by
Did you know the ACM DL App is now available?
Did you know your Organization can subscribe to the ACM Digital Library?
The ACM Guide to Computing Literature
All Tags
Export Formats
Save to Binder