SIGN IN
SIGN UP
Mining high utility patterns in incremental databases
Full Text:
PDF
Buy this Article
Authors:
Chowdhury Farhan Ahmed
Kyung Hee University, Youngin-si, Kyunggi-do, Republic of Korea
Syed Khairuzzaman Tanbeer
Kyung Hee University, Youngin-si, Kyunggi-do, Republic of Korea
Byeong-Soo Jeong
Kyung Hee University, Youngin-si, Kyunggi-do, Republic of Korea
Young-Koo Lee
Kyung Hee University, Youngin-si, Kyunggi-do, Republic of Korea
2009 Article
Bibliometrics
· Downloads (6 Weeks): 6
· Downloads (12 Months): 67
· Citation Count: 0
Published in:
· Proceeding
ICUIMC '09
Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication
ACM
New York, NY
, USA
©2009
table of contents
ISBN: 978-1-60558-405-8
doi>
10.1145/1516241.1516357
Tools and Resources
Buy this Article
Request Permissions
TOC Service:
Email
RSS
Save to Binder
Export Formats:
BibTeX
EndNote
ACM Ref
Upcoming Conference:
ICUIMC '12
Share:
|
Tags:
algorithms
data mining
database applications
design
experimentation
frequent pattern mining
high utility pattern mining
incremental mining
interactive mining
knowledge discovery
management
performance
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