Crime-Related Events Identification Based on Text Analytics Approach

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F26%3AV22KHAID" target="_blank" >RIV/00216208:11320/26:V22KHAID - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1201/9781003587514" target="_blank" >http://dx.doi.org/10.1201/9781003587514</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1201/9781003587514" target="_blank" >10.1201/9781003587514</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Crime-Related Events Identification Based on Text Analytics Approach

Popis výsledku v původním jazyce

As modern society is extremely dependent on the Internet, social networks, and developing technologies, a threat to the security of both the individual and society as a whole has emerged. The openness and global nature of the Internet create opportunities both for criminals, who can use the available information for criminal purposes, and for law enforcement officials. Police officers, in turn, can deal with the preventive processing of data from the Internet in order to prevent crimes. This type of data analysis can detect illegal or criminal actions even at the stage of their formation. Crime-Related Events Identification Based on Text Analytics Approach describes the possibilities of extracting crime-related facts from semi-structured information from various Internet sources so that crime can be combatted. This book is aimed at police officers and IT professionals working in online investigations. © 2025 Orken Mamyrbayev, Nina Khairova and Waldemar Wójcik.

Název v anglickém jazyce

Crime-Related Events Identification Based on Text Analytics Approach

Popis výsledku anglicky

As modern society is extremely dependent on the Internet, social networks, and developing technologies, a threat to the security of both the individual and society as a whole has emerged. The openness and global nature of the Internet create opportunities both for criminals, who can use the available information for criminal purposes, and for law enforcement officials. Police officers, in turn, can deal with the preventive processing of data from the Internet in order to prevent crimes. This type of data analysis can detect illegal or criminal actions even at the stage of their formation. Crime-Related Events Identification Based on Text Analytics Approach describes the possibilities of extracting crime-related facts from semi-structured information from various Internet sources so that crime can be combatted. This book is aimed at police officers and IT professionals working in online investigations. © 2025 Orken Mamyrbayev, Nina Khairova and Waldemar Wójcik.

Druh

B - Odborná kniha

CEP obor

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OECD FORD obor

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

Projekt

—

Návaznosti

—

Rok uplatnění

2025

Kód důvěrnosti údajů

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

ISBN

978-1-040-36673-8

Počet stran knihy

130

Název nakladatele

CRC Press

Místo vydání

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Kód UT WoS knihy

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