Crime analysis using open source information.

Sarwat Nizamani; N. Memon; A. A. Shah; Sehrish. Nizamani; Saad. Nizamani; I. A. Ismaili

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Crime analysis using open source information.

Author(s)

Sarwat Nizamani Department of Computer Science, Sindh University, Campus Mirpurkhas, Pakistan

N. Memon The Maersk McKinney Moller Institute, University of Southern Denmark; Mehran University of Engineering and Technology (MUET), Jamshoro, Pakistan

A. A. Shah Institute of Information and Communication Technology, University of Sindh, Jamshoro, Pakistan

Sehrish. Nizamani Department of Information Technology, Sindh University Campus, Mirpurkhas, Pakistan

Saad. Nizamani Department of Information Technology, Sindh University Campus Mirpurkhas, Pakistan

I. A. Ismaili Institute of Information and Communication Technology, University of Sindh, Jamshoro, Pakistan

Abstract

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.

Publication Details

Page(s) 677-682

DOI DOI not available

Published Journal: Sindh University Research Journal, Volume: 47, Issue: 4, Year: 2015

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