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Empirical study of automatic dataset labelling
Correctly labelled dataseis are commonly required. Three particular scenarios are highlighted, which showcase this need. One of these scenarios is when using supervised Intrusion Detection Systems (TDSs). These systems need labelled datasets for their training process. Also, the real nature of analy...
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Main Authors: | , , |
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Format: | Default Conference proceeding |
Published: |
2015
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Subjects: | |
Online Access: | https://hdl.handle.net/2134/17480 |
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