Nusikaltėlio profilio sudarymas – naujas netradicinis nusikaltimų tyrimo metodas
Janina Juškevičiūtė
Abstract
Janina Juškevičiūtė
Abstract
In this article a new untraditional crime investigation method is presented – an offender profiling which is applied in criminal investigation practice in many countries. The article for the first time in Lithuania presents the offender profiling method and different stages of profiling are analyzed there: case analysis, which consists of six stages, and the offender profiling process. A criminal profile example has been presented. Application and organization of the offender profiling method of Germany, Austria and the United States of America is described in the article. Possibility of the application of the offender profiling method in Lithuania has been analised and some organising recommendations have been proposed.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
In this article a new untraditional crime investigation method is presented – an offender profiling which is applied in criminal investigation practice in many countries. The article for the first time in Lithuania presents the offender profiling method and different stages of profiling are analyzed there: case analysis, which consists of six stages, and the offender profiling process. A criminal profile example has been presented. Application and organization of the offender profiling method of Germany, Austria and the United States of America is described in the article. Possibility of the application of the offender profiling method in Lithuania has been analised and some organising recommendations have been proposed.
Key concepts: Profiling (computer programming), Offender profiling, Criminology, Political science, Computer science, Psychology, Data mining, Visualization