A Classification Framework for Data Mining Applications in Criminal Science and Investigations

A Classification Framework for Data Mining Applications in Criminal Science and Investigations

Mahima Goyal, Vishal Bhatnagar, Arushi Jain
Copyright: © 2020 |Pages: 17
DOI: 10.4018/978-1-7998-2466-4.ch018
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Abstract

The importance of data analysis across different domains is growing day by day. This is evident in the fact that crucial information is retrieved through data analysis, using different available tools. The usage of data mining as a tool to uncover the nuggets of critical and crucial information is evident in modern day scenarios. This chapter presents a discussion on the usage of data mining tools and techniques in the area of criminal science and investigations. The application of data mining techniques in criminal science help in understanding the criminal psychology and consequently provides insight into effective measures to curb crime. This chapter provides a state-of-the-art report on the research conducted in this domain of interest by using a classification scheme and providing a road map on the usage of various data mining tools and techniques. Furthermore, the challenges and opportunities in the application of data mining techniques in criminal investigation is explored and detailed in this chapter.
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Research Design

Data mining techniques in Criminal Science Investigations is the field of study which has enormously gained huge popularity in a few years. It is a diverse discipline on which extensive research has been done. This field attracts a lot of researchers because of its wide applications in different domains. This chapter is dispersed across diverse journals and conferences. This diverse search comprises 16 research journals, 25 conference proceedings, two book chapters and lecture notes. The articles were reviewed with publication limit starting from 2008 to 2015. The various journal sites, which were chosen for the catalogue of the literature in this area are:

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    IEEE Electronic Library,

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    Science Direct,

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    Springer Link Libraries,

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    ACM Digital Library,

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    IGI Global.

The articles were searched on the keywords ‘data mining techniques’ and ‘criminal science investigation’. Every article was classified according to these two combined topics. Each article was reviewed extensively before including it in the chapter. It was then reviewed further for its inclusion in the final selection if any ambiguity arrived.

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