Abstract: Now day’s crimes are increasing rapidly and there is no region or city without crimes. So we require an automation for crime detection and prevention. System should stop crimes before it starts. As crimes are increasing, precautionary measures to be taken to stop crimes [2]. Finding frequent crimes and related correlations is a tedious and high effort task in the current crime sector. This issues needs to be addressed. Current real time system does not supports automation for crime prediction in real time. Machine learning or AI is the emerging technology to solve this issue. Efficient Unsupervised learning algorithms used to process crime training datasets and frequent crimes and their relationships are identified [5]. Proposed system build to reduce crimes and applicable to crime sector. We are building a real time application where it is useful for crime sectors to reduce the crimes. Currently none of the crime sector applications does this and we use efficient data science algorithms to predict crimes with better results.
Keywords: Data Science, Machine Learning, Apriori Algorithm, Apriori TID Algorithm, Crime Types, Patterns
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DOI:
10.17148/IJARCCE.2024.13817
