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Feature Pruning Method for Hidden Markov Models-based anomaly detection: A Comparison of Performance
Author(s) -
SulaimanAlhaidari SulaimanAlhaidari
Publication year - 2018
Publication title -
jordanian journal for computers and information technology/jordanian journal of computers and information technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.161
H-Index - 3
eISSN - 2415-1076
pISSN - 2413-9351
DOI - 10.5455/jjcit.71-1539139559
Subject(s) - anomaly detection , pattern recognition (psychology) , hidden markov model , feature (linguistics) , artificial intelligence , pruning , computer science , anomaly (physics) , markov model , maximum entropy markov model , markov chain , machine learning , variable order markov model , biology , physics , philosophy , linguistics , agronomy , condensed matter physics

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