Rotation Forest-Based Logistic Model Tree for Website Phishing Detection
In: Computational Science and Its Applications – ICCSA 2021 : 21st International Conference, Cagliari, Italy, September 13–16, Jg. 12957 (2021), S. 154-169
Online
E-Book
Zugriff:
Titel: |
Rotation Forest-Based Logistic Model Tree for Website Phishing Detection
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Autor/in / Beteiligte Person: | Balogun, Abdullateef O. ; Akande, Noah O. ; Usman-Hamza, Fatimah E. ; Adeyemo, Victor E. ; Mabayoje, Modinat A. ; Ameen, Ahmed O. ; Goos, Gerhard, Founding Editor ; Hartmanis, Juris, Founding Editor ; Bertino, Elisa [Ed.]ial Board Member ; Gao, Wen [Ed.]ial Board Member ; Steffen, Bernhard [Ed.]ial Board Member ; Woeginger, Gerhard [Ed.]ial Board Member ; Yung, Moti [Ed.]ial Board Member ; Gervasi, Osvaldo [Ed.] ; Murgante, Beniamino [Ed.] ; Misra, Sanjay [Ed.] ; Garau, Chiara [Ed.] ; Blečić, Ivan [Ed.] ; Taniar, David [Ed.] ; Apduhan, Bernady O. [Ed.] ; Rocha, Ana Maria A. C. [Ed.] ; Tarantino, Eufemia [Ed.] ; Torre, Carmelo Maria [Ed.] |
Zeitschrift: | Computational Science and Its Applications – ICCSA 2021 : 21st International Conference, Cagliari, Italy, September 13–16, Jg. 12957 (2021), S. 154-169 |
Veröffentlichung: | 2021 |
Medientyp: | E-Book |
ISBN: | 978-3-030-87012-6 (print) ; 978-3-030-87013-3 (print) |
DOI: | 10.1007/978-3-030-87013-3_12 |
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