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» Discovering Classification from Data of Multiple Sources
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KDD
1999
ACM
117views Data Mining» more  KDD 1999»
15 years 6 months ago
Identifying Distinctive Subsequences in Multivariate Time Series by Clustering
Most time series comparison algorithms attempt to discover what the members of a set of time series have in common. We investigate a di erent problem, determining what distinguish...
Tim Oates
CBMS
2007
IEEE
15 years 8 months ago
A Large Scale Data Mining Approach to Antibiotic Resistance Surveillance
One of the most considerable functions in a hospital's infection control program is the surveillance of antibiotic resistance. Several traditional methods used to measure it ...
Eugenia G. Giannopoulou, Vasileios P. Kemerlis, Mi...
ICPR
2010
IEEE
15 years 5 months ago
Underwater Mine Classification with Imperfect Labels
A new algorithm for performing classification with imperfectly labeled data is presented. The proposed approach is motivated by the insight that the average prediction of a group ...
David Williams
BMCBI
2005
85views more  BMCBI 2005»
15 years 1 months ago
Processing methods for differential analysis of LC/MS profile data
Background: Liquid chromatography coupled to mass spectrometry (LC/MS) has been widely used in proteomics and metabolomics research. In this context, the technology has been incre...
Mikko Katajamaa, Matej Oresic
TWC
2011
320views more  TWC 2011»
14 years 8 months ago
Cognitive Transmissions with Multiple Relays in Cognitive Radio Networks
In cognitive radio networks, each cognitive transmission process typically requires two phases: the spectrum sensing phase and data transmission phase. In this paper, we investiga...
YuLong Zou, Yu-Dong Yao, Baoyu Zheng