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A study on criminal behaviour and pattern prediction using machine learning techniques

Abstract

Recent advances in the field of machine learning have enhanced the likelihood of applying these algorithms in real-time police situations. Machine learning advances have improved the likelihood of applying these algorithms in real-time policing. It's a must-have when it comes to AI and big data analysis (BDA). It has powerful algorithms that can classify data, recognise patterns, and learn to perform a task on its own. Despite its growing popularity in recent years, the general public and even most professionals are unfamiliar with this discipline. In this current era of the globe, crime and theft are on the rise at an alarming rate, and it has become an overwhelming problem that everyone is coping with. Finding a pattern that can be used to predict the future is critical.

Anomaly Detection Techniques and ApplicationsCrime Patterns and InterventionsPopularityGlobeMachine learningComputer scienceBig dataArtificial intelligenceField (mathematics)Task (project management)Data scienceCoping (psychology)
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