An anomaly detection system based on variable N-gram features and one-class SVM

Khreich, Wael, Khosravifar, Babak, Hamou-Lhadj, Abdelwahab et Talhi, Chamseddine. 2017. « An anomaly detection system based on variable N-gram features and one-class SVM ». Information and Software Technology, vol. 91. pp. 186-197.
Compte des citations dans Scopus : 67.

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Item Type:	Peer reviewed article published in a journal
Professor:	Professor Talhi, Chamseddine
Affiliation:	Génie logiciel et des technologies de l'information
Date Deposited:	30 Aug 2017 20:20
Last Modified:	30 Aug 2017 20:20
URI:	https://espace2.etsmtl.ca/id/eprint/15732

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