Southville International School and Colleges

An anomaly detection system based on variable N-gram features and one-class SVM (Record no. 347619)

000 -LEADER
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Khreich, Wael
245 #3 - TITLE STATEMENT
Title An anomaly detection system based on variable N-gram features and one-class SVM
245 ## - TITLE STATEMENT
Statement of responsibility, etc Wael Khreich, Babak Khosravifar, Abdelwahab Hamou-Lhadj, Chamseddine Talhi
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Date of publication, distribution, etc 2017
300 ## - PHYSICAL DESCRIPTION
Extent pages 186-197, December 2017
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Information and Software Technology
Volume number/sequential designation 91:
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element SOFTWARE TECHNLOGY
Holdings
Koha item type Lost status Damaged status Withdrawn status Date last seen Current Location Date acquired Price effective from Permanent Location
Periodicals   2017-12-07College Library2017-12-072017-12-07College Library
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