An ensemble self-structuring neural network approach to solving classification problems with virtual concept drift and its application to phishing websites.
R. Mohammad. University of Huddersfield, UK, (2016)British Library, EThOS.
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%0 Thesis
%1 phd/ethos/Mohammad16
%A Mohammad, Rami Mustafa A.
%D 2016
%K dblp
%T An ensemble self-structuring neural network approach to solving classification problems with virtual concept drift and its application to phishing websites.
@phdthesis{phd/ethos/Mohammad16,
added-at = {2022-04-05T00:00:00.000+0200},
author = {Mohammad, Rami Mustafa A.},
biburl = {https://www.bibsonomy.org/bibtex/220e2df6332e1f880d4e813d8d6bdf19f/dblp},
ee = {https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.700584},
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intrahash = {20e2df6332e1f880d4e813d8d6bdf19f},
keywords = {dblp},
note = {British Library, EThOS},
school = {University of Huddersfield, UK},
timestamp = {2024-04-09T08:57:49.000+0200},
title = {An ensemble self-structuring neural network approach to solving classification problems with virtual concept drift and its application to phishing websites.},
year = 2016
}
