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Identification of Vessel Anomaly Behavior Using Support Vector Machines and Bayesian Networks

contributor authorHandayani, Dini Oktarina Dwi
contributor authorSediono, Wahju
contributor authorShah, Asadullah
date accessioned2020-03-12T22:57:22Z
date available2020-03-12T22:57:22Z
date issued2014
identifier other7031651.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1100376?show=full
formatgeneral
languageEnglish
publisherIEEE
titleIdentification of Vessel Anomaly Behavior Using Support Vector Machines and Bayesian Networks
typeConference Paper
contenttypeMetadata Only
identifier padid8242436
subject keywordsComputers
subject keywordsn Conferences
subject keywordsn Educational institutions
subject keywordsn Government
subject keywordsn Industries
subject keywordsn Information science
subject keywordsn The Institute
identifier doi10.1109/ICIS.2014.6912095
journal titleomputer and Communication Engineering (ICCCE), 2014 International Conference on
filesize344792
citations0


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