How to teach programing languages?
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F18%3A10241315" target="_blank" >RIV/61989100:27230/18:10241315 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/61989100:27510/18:10241315
Výsledek na webu
—
DOI - Digital Object Identifier
—
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
How to teach programing languages?
Popis výsledku v původním jazyce
This paper briefly summarizes the current situation associated with the existence of electronic data and their exponential growth in all fields of human activity. The methods and procedures for the use of electronic data are generally presented. In this issue, we analyzed the problem of crime prevention and ways of implementation of prevention in the Czech Republic by state authorities and institutions. We have studied inspirational prevention solutions abroad and also several already implemented projects in the Czech Republic that use data mining practices. The results are affected by the synergies of collaborating subjects who have recently worked in isolation. In addition, an extensive survey of currently publicly available data that could contribute to crime prevention and security has been conducted. It has been confirmed that freely available information for prediction models is not sufficient and for advanced analysis it is necessary to have more detailed data on criminal activities. Providing anonymized data about individual registered crimes is possible. This is confirmed, for example, by the project "Bezpečný Kolín". Several models and experimental applications were tested with simulated data at the Technical University as examples to help prevent crime in the Liberec region.
Název v anglickém jazyce
How to teach programing languages?
Popis výsledku anglicky
This paper briefly summarizes the current situation associated with the existence of electronic data and their exponential growth in all fields of human activity. The methods and procedures for the use of electronic data are generally presented. In this issue, we analyzed the problem of crime prevention and ways of implementation of prevention in the Czech Republic by state authorities and institutions. We have studied inspirational prevention solutions abroad and also several already implemented projects in the Czech Republic that use data mining practices. The results are affected by the synergies of collaborating subjects who have recently worked in isolation. In addition, an extensive survey of currently publicly available data that could contribute to crime prevention and security has been conducted. It has been confirmed that freely available information for prediction models is not sufficient and for advanced analysis it is necessary to have more detailed data on criminal activities. Providing anonymized data about individual registered crimes is possible. This is confirmed, for example, by the project "Bezpečný Kolín". Several models and experimental applications were tested with simulated data at the Technical University as examples to help prevent crime in the Liberec region.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
<a href="/cs/project/EE2.3.20.0296" target="_blank" >EE2.3.20.0296: Výzkumný tým pro modelování ekonomických a finančních procesů na VŠB-TU Ostrava</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2018
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Proceedings of the international conference: Liberec Informatics Forum 2018
ISBN
978-80-7494-432-1
ISSN
—
e-ISSN
—
Počet stran výsledku
11
Strana od-do
31-41
Název nakladatele
Technická univerzita v Liberci
Místo vydání
Liberec
Místo konání akce
Liberec
Datum konání akce
25. 10. 2018
Typ akce podle státní příslušnosti
EUR - Evropská akce
Kód UT WoS článku
—