Publication:
Integrated Mobile Spain Model Using Artificial Immune System Algorithms

Simple item page
dc.ConferencecodeUniv Utara Malaysia, Coll Arts & Sci, Rangsit Univ, Minist Tourism & Culture Malaysia, Malaysia Convent & Exhibit Bur, gurteen, Knowledge Management Profess Soc, Assoc Informat Syst, Malaysia Chapter, Special Interest Grp Vice President, Univ Utara Malaysia Press, ITU UMM, OPE, Comp Profess Enchrichment & Dev Div, AWFATECH, AEA, LADA, GEOINFO
dc.ConferencedateAUG 12-15, 2014
dc.ConferencelocationLangkawi, MALAYSIA
dc.ConferencenameKnowledge Management International Conference (KMICe2014)
dc.contributor.authorSulaiman, NFen_US
dc.contributor.authorJali, MZen_US
dc.date.accessioned2024-05-29T02:49:41Z
dc.date.available2024-05-29T02:49:41Z
dc.date.issued2014
dc.description.abstractThe unique and complex of Biology Immune System (BIS) gives inspiration to scientists to develop new theory in computational area known as the Artificial Immune System (AIS), and this theory uses by researchers to solve real world problems. This paper aims to understand the BIS with AIS, and later discuss a relationship between them in identifying text 'SPAM' messages. To achieve this, four types of algorithms are explained; namely Immune Network Theory, Negative Selection, Clonal Selection and Danger Theory. This paper is expected to present details explanation about the intersection between BIS and AIS and highlights the use of AIS to identify text 'SPAM' messages
dc.identifier.epage409
dc.identifier.scopusWOS:000346752100070
dc.identifier.spage405
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/10906
dc.languageEnglish
dc.language.isoen_US
dc.publisherUniv Utari Malaysia-Uumen_US
dc.relation.ispartofProceeding Of Knowledge Management International Conference (Kmice) 2014, Vols 1 And 2
dc.sourceWeb Of Science (ISI)
dc.subjectBiology Immune Systemen_US
dc.subjectArtificial Immune Systemen_US
dc.subjecttext 'SPAM' messagesen_US
dc.subjectMobile Spamen_US
dc.titleIntegrated Mobile Spain Model Using Artificial Immune System Algorithms
dc.typeProceedings Paperen_US
dspace.entity.typePublication

Files

Collections

Web of Science_WoS