| Tartalom: |
http://hdl.handle.net/20.500.12944/108742 |
| Archívum: |
Közszolgálati Tudásportál |
| Gyűjtemény: |
Publikációk
MTMT admin RTK
|
| Cím: |
Time's Effect on Crime Prediction Precision and Accuracy
|
| Létrehozó: |
Harmati, Barbara
Pődör, Andrea
Tick, Andrea
|
| Tartalmi leírás: |
Crime detection with high prediction and accuracy has become a focused issue in
the process of crime investigation and prevention. The higher the accuracy or precision of a
crime detection model the more efficient crime investigation and prevention becomes.
The present research aims to examine the possible precision and accuracy differences of
using two different test datasets (TD) to calculate the predictive accuracy index (PAI), and
the recapture rate index (RRI) for kernel density estimation (KDE), risk terrain modeling
(RTM) and the combined RTM–KDE model. The present study focuses on theft and robbery
cases of between 1 December 2015 and 30 November 2018 in Budapest, Hungary.
The novelty of the research lies in its first-time usage in Budapest, in a Central European
evolutionary urban structure. The results show that there are differences in prediction
performance and in each model using a Test Dataset (TD) more distant in time from the
initial dataset resulted in a more accurate prediction. The research proved that datasets with
different time distances can have an impact on the predictive accuracy and precision of crime
detection.
|
| Típus: |
info:eu-repo/semantics/article
|
| Formátum: |
application/pdf
|
| Azonosító: |
nke:36273236
nke:10087072
nke:ACTA POLYTECHNICA HUNGARICA
nke:22
nke:8
nke:105012600207
nke:ACTA POLYTECH HUNG
|
| Létrehozó: |
info:eu-repo/semantics/openAccess
|
