Prevence kriminality s podporou dataminingových modelů
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Date
2015-10-10
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Abstract
Tato práce se zabývá využitím dataminingu pro predikci kriminality. Jejím cílem je navrhnout modely, které by pro vybrané typy trestných činů tento problém řešily. Součástí práce je rešerše možných datových zdrojů, které by mohly při analýze vhodně doplnit data dnes běžně využívaná analytickými odděleními Policie České republiky.Dále byl navržen a implementován nástroj, který by umožnil policejním složkám sbírat data přímo z terénu pomocí mobilního zařízení a ukládat je do vytvořené databáze. Byla také vytvořena webová aplikace sloužící jako dispečink a administrace. S použitím analytického open-source nástroje Knime byly navrženy ukázkové modely pro možnou predikci kriminality.
This thesis focuses on the use of data mining to predict crime. The aim of this thesis is to design models that would solve this issue for selected types of crime. The thesis also contains research of possible data sources that could aptly complement the data that are nowadays commonly used by analytical departments of the Police of the Czech Republic.Furthermore, a tool that was also designed and implemented would enable police forces to collect data directly from the field using mobile devices and store them in a database. Next, a web application was developed within the scope of this thesis. This application can serve for dispatch and administrative purposes. Last, sample models for crime prediction were designed using an open-source analytical tool Knime.
This thesis focuses on the use of data mining to predict crime. The aim of this thesis is to design models that would solve this issue for selected types of crime. The thesis also contains research of possible data sources that could aptly complement the data that are nowadays commonly used by analytical departments of the Police of the Czech Republic.Furthermore, a tool that was also designed and implemented would enable police forces to collect data directly from the field using mobile devices and store them in a database. Next, a web application was developed within the scope of this thesis. This application can serve for dispatch and administrative purposes. Last, sample models for crime prediction were designed using an open-source analytical tool Knime.
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Prevence kriminality, dataming, shluková analýza, Crime prediction, dataming, cluster analysis