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ICDM
2009
IEEE
151views Data Mining» more  ICDM 2009»
13 years 5 months ago
TagLearner: A P2P Classifier Learning System from Collaboratively Tagged Text Documents
The amount of text data on the Internet is growing at a very fast rate. Online text repositories for news agencies, digital libraries and other organizations currently store gigaan...
Haimonti Dutta, Xianshu Zhu, Tushar Mahule, Hillol...
MSWIM
2006
ACM
14 years 1 months ago
Pattern matching based link quality prediction in wireless mobile ad hoc networks
As mobile devices, such as laptops, PDAs or mobile phones, are getting more and more ubiquitous and are able to communicate with each other via wireless technologies, the paradigm...
Károly Farkas, Theus Hossmann, Lukas Ruf, B...
CLUSTER
2002
IEEE
14 years 15 days ago
Leveraging Standard Core Technologies to Programmatically Build Linux Cluster Appliances
Clusters have made the jump from lab prototypes to fullfledged production computing platforms. The number, variety, and specialized configurations of these machines are increasi...
Mason J. Katz, Philip M. Papadopoulos, Greg Bruno
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
14 years 8 months ago
Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
Sofus A. Macskassy
EDOC
2008
IEEE
14 years 2 months ago
Reliable Discovery and Selection of Composite Services in Mobile Environments
Service providers as we know them nowadays are the always-on “static” web service providers, that aim at Five9 availability (99.999%). Formal, or de-facto, standards, such as ...
Lucia Del Prete, Licia Capra