Crime analysis and prevention are essential tactics for identifying and suppressing illicit behaviour. It comprises a systematic analysis of criminal conduct patterns and trends using data and technology. Our method uses computerised tools to locate crime hotspots and pinpoint regions where there is a high probability of crime occurring. By using the data mining technique, analysts of crime data can glean valuableinformation from unstructured data, helping law enforcement personnel crack cases more rapidly. This multidisciplinary approach combines criminal law and computer science to build a data mining strategy that prioritizes daily crime elements rather than focusing on the causes of crime occurrence, such as the criminalpast of the offender or political hostility. In conclusion, it is a successful tactic to identify and curtail criminal activities by applying crime analysis and prevention. Data mining tools, which are being utilised more regularly, can help law enforcement officers solve crimes more swiftly and efficiently. By focusing on the daily crime aspects, we may develop measures to prevent crimes from occurring and ensure the protection of people and communities.

Topics
Data science, Data mining, Machine learning, Careers and professions
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