Crime Analysis using Open Source Information

In this paper, we present a method of crime analysis from open source information. We employed un-supervised methods of data mining to explore the facts regarding the crimes of an area of interest. The analysis is based on well known clustering and association techniques. The results show that the p...

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Detalles Bibliográficos
Autor principal: Ismaili, Imdad Ali (Autor)
Otros Autores: Shah, Azhar Ali ; Nizamani, Sehrish ; Nizamani, Sarwat ; Nizamani, Saad ; Memon, Nasrullah
Tipo de documento: Electrónico Libro
Lenguaje:Inglés
Publicado: 2019
En:Año: 2019
Acceso en línea: Volltext (kostenfrei)
Verificar disponibilidad: HBZ Gateway
Palabras clave:
Research
Descripción
Sumario:In this paper, we present a method of crime analysis from open source information. We employed un-supervised methods of data mining to explore the facts regarding the crimes of an area of interest. The analysis is based on well known clustering and association techniques. The results show that the proposed method of crime analysis is efficient and gives a broad picture of the crimes of an area to analyst without much effort. The analysis is evaluated using manual approach, which reveals that the results produced by the proposed approach are comparable to the manual analysis, while a great amount of time is saved