Crime Factor Anaysis and Prediction Using Machine Learning
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-96299-9_30
Reference14 articles.
1. Premalatha, M., Vijayalakshmi, C., Vijayalakshmi, C.: SVM approach for non-parametric method in classification and regression learning process on feature selection with $epsilon$-insensitive region. Malaya J. Mat. S(1), 276–279 (2019)
2. Aarthi, S., Samyuktha, M., Sahana, M.: Crime hotspot detection with clustering algorithm using data mining. In: 2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI), pp. 401–405. IEEE (2019)
3. Al Saidi, W., Zeki, A.M.: The use of data mining techniques in crime prevention and prediction. In: 2nd Smart Cities Symposium (SCS 2019), pp. 1–4. IET (2019)
4. Chauhan, C., Sehgal, S.: A review: crime analysis using data mining techniques and algorithms. In: 2017 International Conference on Computing, Communication and Automation (ICCCA), pp. 21–25. IEEE (2017)
5. Iqbal, R.: An experimental study of classification algorithms for crime prediction. Indian J. Sci. Technol. 6(3), 1–7 (2013)
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