Intelligent detection of anomalies in telecommunications customer behaviour

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dc.contributor.advisorPotgieter, Aneten_ZA
dc.contributor.authorOsunmakinde, Isaac Olusegunen_ZA
dc.date.accessioned2014-08-13T19:31:54Z
dc.date.available2014-08-13T19:31:54Z
dc.date.issued2006en_ZA
dc.descriptionWord processed copy.en_ZA
dc.descriptionIncludes bibliographical references (leaves 118-121).en_ZA
dc.description.abstractIn this research, we present a modelling technique that can efficiently facilitate anomaly detection that will help call analysts and managers with adaptive decision-making. We developed and implemented a Data 'fransformation System (DTS), a new Hybrid Genetic Algorithm (HGA) and an Anomaly Detection System (ADS) to address this challenge.en_ZA
dc.identifier.apacitationOsunmakinde, I. O. (2006). <i>Intelligent detection of anomalies in telecommunications customer behaviour</i>. (Thesis). University of Cape Town ,Faculty of Science ,Department of Computer Science. Retrieved from http://hdl.handle.net/11427/6430en_ZA
dc.identifier.chicagocitationOsunmakinde, Isaac Olusegun. <i>"Intelligent detection of anomalies in telecommunications customer behaviour."</i> Thesis., University of Cape Town ,Faculty of Science ,Department of Computer Science, 2006. http://hdl.handle.net/11427/6430en_ZA
dc.identifier.citationOsunmakinde, I. 2006. Intelligent detection of anomalies in telecommunications customer behaviour. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Osunmakinde, Isaac Olusegun AB - In this research, we present a modelling technique that can efficiently facilitate anomaly detection that will help call analysts and managers with adaptive decision-making. We developed and implemented a Data 'fransformation System (DTS), a new Hybrid Genetic Algorithm (HGA) and an Anomaly Detection System (ADS) to address this challenge. DA - 2006 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2006 T1 - Intelligent detection of anomalies in telecommunications customer behaviour TI - Intelligent detection of anomalies in telecommunications customer behaviour UR - http://hdl.handle.net/11427/6430 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/6430
dc.identifier.vancouvercitationOsunmakinde IO. Intelligent detection of anomalies in telecommunications customer behaviour. [Thesis]. University of Cape Town ,Faculty of Science ,Department of Computer Science, 2006 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/6430en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Computer Scienceen_ZA
dc.publisher.facultyFaculty of Scienceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherComputer Scienceen_ZA
dc.titleIntelligent detection of anomalies in telecommunications customer behaviouren_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMScen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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