Open AccessLearning from sequential data for anomaly detection
Author(s) -
Esra YOLAÇAN
Publication year - 2014
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.17760/d20128355
Subject(s) - anomaly detection , computer science , data mining , anomaly (physics) , profiling (computer programming) , set (abstract data type) , homeland security , range (aeronautics) , artificial intelligence , data science , machine learning , geography , engineering , physics , archaeology , aerospace engineering , terrorism , programming language , condensed matter physics , operating system
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