Dynamic Bayesian Networks in the Problem of Localizing the NarcoticSubstances Distribution

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13440%2F20%3A43894895" target="_blank" >RIV/44555601:13440/20:43894895 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1007/978-3-030-33695-0_29" target="_blank" >http://dx.doi.org/10.1007/978-3-030-33695-0_29</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-030-33695-0_29" target="_blank" >10.1007/978-3-030-33695-0_29</a>

Result language

angličtina

Original language name

Dynamic Bayesian Networks in the Problem of Localizing the NarcoticSubstances Distribution

Original language description

This paper proposed a methodology for the use of static and dynamic Bayesian networks (BN) in the problems of localizing the distribution of narcotic substances. Methods for constructing the BN structure, their parametric training, validation, sensitivity analysis and &quot;What-if&quot; scenario analysis are considered. A model of dynamic Bayesian networks (DBN) for scenario analysis and prediction of the composition of a narcotic substance has been developed. The model was designed in collaboration with law enforcement officers, as well as forensic experts in the selection and quantification of input and output variables.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Advances in Intelligent Systems and Computing

ISBN

—

ISSN

2194-5357

e-ISSN

—

Number of pages

18

Pages from-to

421-438

Publisher name

Springer

Place of publication

Cham

Event location

Lviv

Event date

Sep 17, 2019

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

—