Abstract
Individuals, authorities, and governments have all placed a high focus on reducing crime. This research work investigates a few data mining techniques and machine learning algorithms that are used to mine crime datasets and methods, or techniques utilized in crime data analysis, forecasting and prediction. Crime estimating is a way of trying to be mining out and decreasing the upcoming crimes. This leads in predicting the future crime that will have chances to happen. In addition, a formal introduction is made of crime in India. In today’s world, where crime is on the rise, it is critical to be able to predict forthcoming crimes with greater precision. India's official criminal code is the Indian Penal Code (IPC). It is a comprehensive code which focuses to cover all characteristic of criminal law. Here, the importance of data mining techniques and machine learning algorithms in resolving crime problems by uncovering hidden criminal trends cannot be overstated. As a result, the goal of this research project may be to examine and discuss alternative strategies for predicting crime and provides reasonable exploration of data mining techniques and machine learning algorithms for estimation and prediction of upcoming crime.
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Yadav, A., Saini, B., Kavita (2022). Crıme Data Analysıs Usıng Machıne Learnıng Technıques. In: Raj, J.S., Shi, Y., Pelusi, D., Balas, V.E. (eds) Intelligent Sustainable Systems. Lecture Notes in Networks and Systems, vol 458. Springer, Singapore. https://doi.org/10.1007/978-981-19-2894-9_55
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DOI: https://doi.org/10.1007/978-981-19-2894-9_55
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