Open AccessHypothetical-inductive method as a basis information and training expert system in cases of death from injury with a sharp object
Author(s) -
Volodymyr Zosimenko,
Hanna Zolnikova
Publication year - 2016
Publication title -
sudovo-medična ekspertiza
Language(s) - English
Resource type - Journals
eISSN - 2707-8728
pISSN - 2218-838X
DOI - 10.24061/2707-8728.1.2016.3
Subject(s) - object (grammar) , computer science , expert system , bayes' theorem , process (computing) , interface (matter) , forensic examination , artificial intelligence , data science , machine learning , engineering , forensic engineering , bayesian probability , programming language , bubble , maximum bubble pressure method , parallel computing
The article describes the approaches to the construction of educational information and expert system classification of the offender, as a tool for the analysis of murders with sharp objects. We have installed and tested an algorithm sequential diagnostic procedure based on the use of Bayes’ formula, as one of the possible technologies including Data Mining. In the future it will be used for the construction of information and training expert system, which is known for filling elements of criminalistics characterization of crime, will be obtained characteristics (sex, age) of the criminal with a certain statistical confidence. This information and training expert system will be developed in the PHP programming language with the user interface, and will be used in the educational process at the department of forensic medicine, and in the future and make a difference in the practical work of the forensic experts, especially during examinations in cases of violent death with a sharp object.