The Application of Bayesian networks in the Domain of Theft Alarm Analysis

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dc.contributor.advisorKwisthout, J.H.P.
dc.contributor.advisorRooij, I.J.E.I. van
dc.contributor.advisorHoen, S.
dc.contributor.advisorLinde, S. van der
dc.contributor.advisorDorresteijn, R. van
dc.contributor.authorBijsterveld, A.S.
dc.date.issued2013-07-17
dc.description.abstractIn connection with the application of Bayesian networks in several domains like medical diagnoses and weather forecasting, this thesis introduces the use of Bayesian networks into the field of theft alarm analysis. It is investigated if Bayesian networks could be able to assist in making judgments about incoming alarms from vehicles using historical alarm data available from those same vehicles. The model is tested in the real world environment of Allsetra, which provides track-and-trace solutions for vehicles using built-in electronics. The test results give an insight on what percentages of false alarms could be filtered out using Bayesian networks.en_US
dc.identifier.urihttp://theses.ubn.ru.nl/handle/123456789/201
dc.language.isoenen_US
dc.thesis.facultyFaculteit der Sociale Wetenschappenen_US
dc.thesis.specialisationMaster Artificial Intelligenceen_US
dc.thesis.studyprogrammeArtificial Intelligenceen_US
dc.thesis.typeMasteren_US
dc.titleThe Application of Bayesian networks in the Domain of Theft Alarm Analysisen_US
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