Active Learning and Malware Entity Extraction. A survey of active learning methods specifically implemented with a CRF for finding malware names - The hunt for Red October.

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dc.contributor.authorRomare, Elin
dc.contributor.authorBijelovic, Milica
dc.contributor.departmentChalmers tekniska högskola / Institutionen för matematiska vetenskapersv
dc.contributor.departmentChalmers University of Technology / Department of Mathematical Sciencesen
dc.date.accessioned2019-07-03T13:54:46Z
dc.date.available2019-07-03T13:54:46Z
dc.date.issued2016
dc.identifier.urihttps://hdl.handle.net/20.500.12380/237808
dc.language.isoeng
dc.setspec.uppsokPhysicsChemistryMaths
dc.subjectMatematik
dc.subjectGrundläggande vetenskaper
dc.subjectMathematics
dc.subjectBasic Sciences
dc.titleActive Learning and Malware Entity Extraction. A survey of active learning methods specifically implemented with a CRF for finding malware names - The hunt for Red October.
dc.type.degreeExamensarbete för masterexamensv
dc.type.degreeMaster Thesisen
dc.type.uppsokH
local.programmeEngineering mathematics and computational science (MPENM), MSc
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