SIGN IN
SIGN UP
Automatic discovery of technology trends from patent text
Full Text:
Pdf
Buy this Article
Authors:
Youngho Kim
Information and Communications University, Yuseong-gu, Daejeon, South Korea
Yingshi Tian
Information and Communications University, Yuseong-gu, Daejeon, South Korea
Yoonjae Jeong
Information and Communications University, Yuseong-gu, Daejeon, South Korea
Ryu Jihee
Information and Communications University, Yuseong-gu, Daejeon, South Korea
Sung-Hyon Myaeng
Information and Communications University, Yuseong-gu, Daejeon, South Korea
2009 Article
Bibliometrics
· Downloads (6 Weeks): 1
· Downloads (12 Months): 59
· Citation Count: 0
Published in:
· Proceeding
SAC '09
Proceedings of the 2009 ACM symposium on Applied Computing
ACM
New York, NY
, USA
©2009
table of contents
ISBN: 978-1-60558-166-8
doi>
10.1145/1529282.1529611
Tools and Resources
Buy this Article
Request Permissions
TOC Service:
Email
RSS
Save to Binder
Export Formats:
BibTeX
EndNote
ACM Ref
Upcoming Conference:
SAC 2012
Share:
|
Tags:
algorithms
clustering
information extraction
miscellaneous
patent
text mining
trend
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