Online incremental learning for high bandwidth network traffic classification
Data stream mining techniques are able to classify evolving data streams such as network traffic in the presence of concept drift. In order to classify high bandwidth network traffic in real-time, data stream mining classifiers need to be implemented on reconfigurable high throughput platform, such...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Hindawi Ltd.
2016
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/70105/ http://dx.doi.org/10.1155/2016/1465810 |
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| Institution: | Universiti Teknologi Malaysia |