Document Type
Theses, Masters
Rights
This item is available under a Creative Commons License for non-commercial use only
Disciplines
1.2 COMPUTER AND INFORMATION SCIENCE, Computer Sciences
Abstract
The aim of this study is to create a model to predict which 911 calls will result in crime reports of a violent nature. Such a prediction model could be used by the police to prioritise calls which are most likely to lead to violent crime reports. The model will use geospatial and temporal attributes of the call to predict whether a crime report will be generated. To create this model, a dataset of characteristics relating to the neighbourhood where the 911 call originated will be created and combined with characteristics related to the time of the 911 call. Geospatial and temporal analysis of past 911 calls and crime reports will be applied to determine which 911 calls resulted in crime reports (the dependent variable) so that supervised learning can be performed.
Recommended Citation
Corcoran, V. (2019) Predicting Violent Crime Reports from Geospatial and Temporal Attributes of US 911 Emergency Call Data, Masters Thesis, Technological University Dublin.
Publication Details
A dissertation submitted in Partial fulfillment of the requirements of Technical University Dublin for the degree of M.Sc. in Computing (Data Analytics)