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CVPR
2011
IEEE
13 years 6 months ago
Dynamic Batch Mode Active Learning
Active learning techniques have gained popularity in reducing human effort to annotate data instances for inducing a classifier. When faced with large quantities of unlabeled dat...
Shayok Chakraborty, Vineeth Balasubramanian, Sethu...
CIKM
2010
Springer
13 years 7 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
WWW
2008
ACM
14 years 9 months ago
Utility-driven load shedding for xml stream processing
Because of the high volume and unpredictable arrival rate, stream processing systems may not always be able to keep up with the input data streams-- resulting in buffer overflow a...
Mingzhu Wei, Elke A. Rundensteiner, Murali Mani
STOC
2005
ACM
184views Algorithms» more  STOC 2005»
14 years 2 months ago
Coresets in dynamic geometric data streams
A dynamic geometric data stream consists of a sequence of m insert/delete operations of points from the discrete space {1, . . . , ∆}d [26]. We develop streaming (1 + )-approxim...
Gereon Frahling, Christian Sohler
DGO
2011
285views Education» more  DGO 2011»
12 years 8 months ago
Social media use by government: from the routine to the critical
Social media (i.e., Twitter, Facebook, Flickr, YouTube) and other services with user-generated content have made a staggering amount of information (and misinformation) available....
Andrea L. Kavanaugh, Edward A. Fox, Steven D. Shee...