• Predicting Cybersecurity Vulnerability Severity via Boosted Machine Learning Ensembles and Feature Ranking.
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Predicting Cybersecurity Vulnerability Severity via Boosted Machine Learning Ensembles and Feature Ranking.
    作者: Ohuabunwa, Barbara C.
    出版者: Ann Arbor : ProQuest Dissertations & Theses, 2022
    面頁冊數: 116 p.
    附註: Source: Dissertations Abstracts International, Volume: 83-06, Section: B.
    附註: Advisor: Bojanic, Oliver.
    Contained By: Dissertations Abstracts International83-06B.
    標題: Engineering.
    電子資源: http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28865975
    ISBN: 9798759949275
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