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Using Machine Learning to Detect ICT in Criminal Court Cases

Sessink, Danique (2018) Using Machine Learning to Detect ICT in Criminal Court Cases.

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Abstract:ICT involvement in criminal court cases is not always explicitly mentioned, which results in less attention being paid to crimes involving ICT. This research aims to detect ICT involvement in criminal court cases and classify these cases based on certain features. Naïve Bayes is used as a machine learning algorithm to automatically classify the criminal court cases. As a result, this paper delivers a model that can detect ICT involvement in criminal court cases, the features which it is based on and the accuracy of this classification. A statistical analysis of the dataset is provided to show trends in ICT involved crimes.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Business & IT BSc (56066)
Link to this item:http://purl.utwente.nl/essays/76504
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