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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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Bibliographic Details
Main Authors: Francisco Aparicio-Navarro, Kostas Kyriakopoulos, David Parish
Format: Default Conference proceeding
Published: 2015
Subjects:
Online Access:https://hdl.handle.net/2134/17480
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