Publication:
A review of feature extraction optimization in SMS spam messages classification

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dc.Conferencecode184259
dc.Conferencedate21 September 2016 through 22 September 2016
dc.Conferencename2nd International Conference on Soft Computing in Data Science, SCDS 2016
dc.citedby4
dc.contributor.affiliationsFaculty of Science and Technology
dc.contributor.affiliationsUniversiti Sains Islam Malaysia (USIM)
dc.contributor.authorZainal K.en_US
dc.contributor.authorJali M.Z.en_US
dc.date.accessioned2024-05-28T08:46:27Z
dc.date.available2024-05-28T08:46:27Z
dc.date.issued2016
dc.description.abstractSpam these days has become a definite nuisance to mobile users. Provision of Short Messages Services (SMS) has been intruded, in line with an advancement of mobile technology by the emergence of SMS spam. This issue has not only cause distressing situation but also other serious threats such as money loss, fraud, and false news. The focus of this study is to excavate the features extraction in classifying SMS spam messages at users� end. Its objective is to study the discriminatory control of the features and considering its informative or influence factor in classifying SMS spam messages. This study has been conducted by gathering research papers and journals from numerous sources on the subject of spam classification. The discovery offers a motivational effort for further execution in a wider perspective of combating spam such as measurement of spam�s risk level. � Springer Nature Singapore Pte Ltd. 2016.
dc.description.natureFinalen_US
dc.description.sponsorshipBank Islam
dc.description.sponsorshipEtal
dc.description.sponsorshipFusionex
dc.description.sponsorshipIBM
dc.description.sponsorshipMDEC
dc.description.sponsorshipMicrosft
dc.editorYap B.W.Mohamed A.H.Berry M.W.en_US
dc.identifier.doi10.1007/978-981-10-2777-2_14
dc.identifier.epage170
dc.identifier.isbn9789810000000
dc.identifier.issn18650929
dc.identifier.scopus2-s2.0-84989313348
dc.identifier.spage158
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84989313348&doi=10.1007%2f978-981-10-2777-2_14&partnerID=40&md5=685ade76d0669f461bee2d3bd1a5159f
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/9436
dc.identifier.volume652
dc.languageEnglish
dc.language.isoen_US
dc.publisherSpringer Verlagen_US
dc.relation.ispartofCommunications in Computer and Information Science
dc.sourceScopus
dc.subjectFeature extraction reviewen_US
dc.subjectSMS spamen_US
dc.subjectSpam classificationen_US
dc.subjectSpam feature extractionen_US
dc.subjectSpam filteringen_US
dc.subjectExtractionen_US
dc.subjectFeature extractionen_US
dc.subjectInterneten_US
dc.subjectRisk assessmenten_US
dc.subjectSoft computingen_US
dc.subjectExtraction optimizationsen_US
dc.subjectFeatures extractionen_US
dc.subjectMobile Technologyen_US
dc.subjectResearch papersen_US
dc.subjectShort messageen_US
dc.subjectSpam classificationen_US
dc.subjectSpam filteringen_US
dc.subjectSpam messagesen_US
dc.subjectClassification (of information)en_US
dc.titleA review of feature extraction optimization in SMS spam messages classification
dc.typeConference Paperen_US
dspace.entity.typePublication

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