Linking Residential Burglaries using the Series Finder Algorithm in a Swedish Context
Context. A minority of criminals performs a majority of the crimes today. It is known that every criminal or group of offenders to some extent have a particular pattern (modus operandi) how crime is performed. Therefore, computers' computational power can be employed to discover crimes that hav...
Main Author: | Aleksandr, Polescuk |
---|---|
Format: | Others |
Language: | English |
Published: |
Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik
2017
|
Subjects: | |
Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:bth-14033 |
Similar Items
-
Linking crime through modus operandi. On linking Series of Crime into Single Offenders through Sructured Collection of Crime Scene Information.
by: Sundberg, Jacob
Published: (2020) -
Approaches for estimating the Uniqueness of linked residential burglaries
by: Gajvelly, Chakravarthy
Published: (2016) -
Filtering estimated series of residential burglaries using spatio-temporal route calculations
by: Bala, Jaswanth
Published: (2016) -
A Machine Learning Approach for Studying Linked Residential Burglaries
by: Márquez, Ángela Marqués
Published: (2014) -
Evaluating Temporal Analysis Methods Using Residential Burglary Data
by: Martin Boldt, et al.
Published: (2016-08-01)