The Application of Bayesian networks in the Domain of Theft Alarm Analysis
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2013-07-17
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en
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In 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.
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Faculteit der Sociale Wetenschappen