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

A Classification Framework for Data Mining Applications in Criminal Science and Investigations
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Author(s): Mahima Goyal (Ambedkar Institute of Advanced Communication Technologies and Research, India), Vishal Bhatnagar (Ambedkar Institute of Advanced Communication Technologies and Research, India)and Arushi Jain (Ambedkar Institute of Advanced Communication Technologies and Research, India)
Copyright: 2020
Pages: 17
Source title: Cyber Warfare and Terrorism: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
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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