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dc.contributor.advisorTamir, Dan
dc.contributor.authorLakomski, Gregory Randall
dc.date.accessioned2017-05-16T13:27:38Z
dc.date.available2017-05-16T13:27:38Z
dc.date.created2017-05
dc.date.issued2017-04-21
dc.date.submittedMay 2017
dc.identifier.urihttps://digital.library.txstate.edu/handle/10877/6571
dc.description.abstractNo abstract prepared.
dc.formatText
dc.format.extent81 pages
dc.format.medium1 file (.pdf)
dc.language.isoen_US
dc.subjectNon-Gaussian
dc.subjectContext
dc.subjectAnomaly
dc.subject.lcshComputer networks--Monitoring
dc.subject.lcshGaussian processes
dc.titleNon-Gaussian Models for Context Aware Anomaly Detection
txstate.documenttypeThesis
dc.contributor.committeeMemberGuirguis, Mina
dc.contributor.committeeMemberEkin, Tahir
thesis.degree.departmentComputer Scienceen_US
thesis.degree.disciplineComputer Scienceen_US
thesis.degree.grantorTexas State Universityen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Scienceen_US
txstate.departmentComputer Science


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