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A Novel Shilling Attack Detection Method

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dc.contributor.authorBilge, Alper
dc.contributor.authorÖzdemir, Zeynep Güven
dc.contributor.authorPolat, Hüseyin
dc.contributor.orcid0000-0003-3467-9915
dc.contributor.orcid0000-0001-5085-5814
dc.contributor.orcid0000-0003-4128-2625
dc.date.accessioned2025-11-13T09:31:18Z
dc.date.issued2014-01-01
dc.identifier.doihttps://doi.org/10.1016/j.procs.2014.05.257
dc.identifier.endpage174
dc.identifier.issn1877-0509
dc.identifier.openalexW2025226803
dc.identifier.startpage165
dc.identifier.urihttps://hdl.handle.net/11421/1380
dc.identifier.urihttps://doi.org/10.1016/j.procs.2014.05.257
dc.identifier.volume31
dc.language.isoen
dc.relation.ispartofProcedia Computer Science
dc.rightsopenAccess
dc.subjectComputer science
dc.subjectBandwagon effect
dc.subjectSet (abstract data type)
dc.subjectBenchmark (surveying)
dc.subjectData mining
dc.subjectCluster analysis
dc.subjectMalware
dc.subjectConstruct (python library)
dc.subjectPopularity
dc.subjectComputer security
dc.subjectAttack model
dc.subjectMachine learning
dc.subjectComputer network
dc.titleA Novel Shilling Attack Detection Method
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5042038212
local.authorid.openalexA5048761007
local.authorid.openalexA5029891409

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