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Performance Assessment of some Phishing predictive models based on Minimal Feature corpus

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Bibliographic Details
Published in:Journal of Digital Forensics, Security and Law
Format: Online Article RSS Article
Published: 2021
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container_title Journal of Digital Forensics, Security and Law
description
discipline_display Law
discipline_facet Law
format Online Article
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genre Journal Article
id rss_article:65659
institution FRELIP
journal_source_facet Journal of Digital Forensics, Security and Law
publishDate 2021
publishDateSort 2021
record_format rss_article
spellingShingle Performance Assessment of some Phishing predictive models based on Minimal Feature corpus
Law
General
Law
sub_discipline_display General
sub_discipline_facet General
subject_display Law
General
Law
Law
General
Law
subject_facet Law
General
Law
title Performance Assessment of some Phishing predictive models based on Minimal Feature corpus
title_auth Performance Assessment of some Phishing predictive models based on Minimal Feature corpus
title_full Performance Assessment of some Phishing predictive models based on Minimal Feature corpus
title_fullStr Performance Assessment of some Phishing predictive models based on Minimal Feature corpus
title_full_unstemmed Performance Assessment of some Phishing predictive models based on Minimal Feature corpus
title_short Performance Assessment of some Phishing predictive models based on Minimal Feature corpus
title_sort performance assessment of some phishing predictive models based on minimal feature corpus
topic Law
General
Law
url https://commons.erau.edu/jdfsl/vol16/iss1/5