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» Data Stream Clustering: Challenges and Issues
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CIKM
2010
Springer
13 years 6 months ago
Partial drift detection using a rule induction framework
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...
Damon Sotoudeh, Aijun An
ICPADS
2008
IEEE
14 years 2 months ago
Integrating Sensor Streams in pHealth Networks
Personal Health (pHealth) sensor networks are generally used to monitor the wellbeing of both athletes and the general public to inform health specialists of future and often seri...
Mark Roantree, Dónall McCann, Niall Moyna
PAM
2012
Springer
12 years 3 months ago
A Sequence-Oriented Stream Warehouse Paradigm for Network Monitoring Applications
Network administrators are faced with the increasingly challenging task of monitoring their network’s health in real time, drawing upon diverse and voluminous measurement data fe...
Lukasz Golab, Theodore Johnson, Subhabrata Sen, Je...
KDD
2005
ACM
124views Data Mining» more  KDD 2005»
14 years 8 months ago
A multinomial clustering model for fast simulation of computer architecture designs
Computer architects utilize simulation tools to evaluate the merits of a new design feature. The time needed to adequately evaluate the tradeoffs associated with adding any new fe...
Kaushal Sanghai, Ting Su, Jennifer G. Dy, David R....
FGR
2008
IEEE
147views Biometrics» more  FGR 2008»
14 years 2 months ago
Unsupervised clustering for google searches of celebrity images
How do we identify images of the same person in photo albums? How can we find images of a particular celebrity using web image search engines? These types of tasks require solvin...
Alex Holub, Pierre Moreels, Pietro Perona