This dissertation will speci cally discuss how machine learning,through some of its algorithms, is able to investigate the various kindsof crime committed in the New York City land area, with special focuson the root-cause, allegedly paving the way for the violation of certainareas of the law. After covering some general background informationconcerning the history of this eld while discussing a few examplestaken from previous work, as well as the history of crime within theinterested geographical area, focus will be placed in rst of all ndingways to retrieve all the necessary numerical information dating backseveral years, since some of them might not be explicitly available,and after ful lling this task, the selected machine learning algorithmswill be implemented to have an insight about the relationship betweenthe chosen variables. We then conclude with the direction in whichfuture research should be heading.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:mau-20411 |
| Date | January 2020 |
| Creators | Di Giovanni, Yani |
| Publisher | Malmö universitet, Fakulteten för teknik och samhälle (TS), Malmö universitet/Teknik och samhälle |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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