Machine Learning Based Approach for Crime Analysis in India with an Emphasis on Women Safety
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-71115-2_16
Reference25 articles.
1. Shah, N., Bhagat, N., Shah, M.: Crime forecasting: a machine learning and computer vision approach to crime prediction and prevention. Vis. Comput. Ind. Biomed. Art 4, 9 (2021). https://doi.org/10.1186/s42492-021-00075-z
2. Bandekar, S.R., Vijayalakshmi, C.: Design and analysis of machine learning algorithms for the reduction of crime rates in India. Procedia Comput. Sci. 172, 122–127 (2020). https://doi.org/10.1016/j.procs.2020.05.018
3. https://indianexpress.com/article/india/crime-against-women-rose-by-15-3-in-2021-ncrb-8119739/
4. https://ncrb.gov.in/en/crime-against-women-statesuts
5. Ravi Teja, K., Ajay Kumar, K.R.M., Praveen, G.S.S., Harini, D.N.D.: Analysis of crimes against women in india using machine learning techniques. In: Satapathy, S.C., Bhateja, V., Ramakrishna Murty, M., Gia Nhu, N., Jayasri Kotti (eds.) Communication Software and Networks. LNNS, vol. 134, pp. 499–510. Springer, Singapore (2021). https://doi.org/10.1007/978-981-15-5397-4_51
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