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

Mahima Goyal, Vishal Bhatnagar, Arushi Jain
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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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数据挖掘在刑事科学与侦查中的分类框架
跨领域数据分析的重要性与日俱增。关键信息是通过使用不同的可用工具进行数据分析来检索的,这一点很明显。在现代场景中,使用数据挖掘作为发现关键和关键信息的工具是很明显的。本章讨论了数据挖掘工具和技术在刑事科学和调查领域的应用。数据挖掘技术在刑事科学中的应用有助于理解犯罪心理,从而为遏制犯罪提供有效的措施。本章通过使用分类方案提供了在这个感兴趣的领域进行的研究的最新报告,并提供了使用各种数据挖掘工具和技术的路线图。此外,本章还探讨了数据挖掘技术在刑事侦查中的应用所面临的挑战和机遇。
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CiteScore
1.80
自引率
40.00%
发文量
20
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