Machine Learning for Cyber Security / Lecture Notes in Computer Science Bd.12487 (PDF)
Third International Conference, ML4CS 2020, Guangzhou, China, October 8-10, 2020, Proceedings, Part II
(Sprache: Englisch)
This three volume book set constitutes the proceedings of the Third International Conference on Machine Learning for Cyber Security, ML4CS 2020, held in Xi'an, China in October 2020.
The 118 full papers and 40 short papers presented were carefully...
The 118 full papers and 40 short papers presented were carefully...
sofort als Download lieferbar
Printausgabe 131.99 €
eBook (pdf) -8%
120.99 €
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
Produktdetails
Produktinformationen zu „Machine Learning for Cyber Security / Lecture Notes in Computer Science Bd.12487 (PDF)“
This three volume book set constitutes the proceedings of the Third International Conference on Machine Learning for Cyber Security, ML4CS 2020, held in Xi'an, China in October 2020.
The 118 full papers and 40 short papers presented were carefully reviewed and selected from 360 submissions. The papers offer a wide range of the following subjects: Machine learning, security, privacy-preserving, cyber security, Adversarial machine Learning, Malware detection and analysis, Data mining, and Artificial Intelligence.
Bibliographische Angaben
- 2020, 1st ed. 2020, 608 Seiten, Englisch
- Herausgegeben: Xiaofeng Chen, Hongyang Yan, Qiben Yan, Xiangliang Zhang
- Verlag: Springer International Publishing
- ISBN-10: 3030624609
- ISBN-13: 9783030624606
- Erscheinungsdatum: 10.11.2020
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 63 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
Kommentar zu "Machine Learning for Cyber Security / Lecture Notes in Computer Science Bd.12487"
Schreiben Sie einen Kommentar zu "Machine Learning for Cyber Security / Lecture Notes in Computer Science Bd.12487".
Kommentar verfassen