Crime Rate Prediction Based on K-means Clustering and Decision Tree Algorithm-Reference-Cited by-同舟云学术

Crime Rate Prediction Based on K-means Clustering and Decision Tree Algorithm

Published:2021-09-14 Issue: Volume: Page:451-462
ISSN:2367-4512
Container-title:Computer Networks and Inventive Communication Technologies
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Author:

Kumar Jogendra,Sravani M.,Akhil Muvva,Sureshkumar Pallapothu,Yasaswi Valiveti

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-3728-5_34

Reference15 articles.

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2. Butt, U.M., Letchmunan, S., Hassan, F.H., Ali, M., Baqir, A., Sherazi, H.H.R.: Spatio-temporal crime HotSpot detection and prediction: a systematic literature review. IEEE Access 8, 166553–166574 (2020). https://doi.org/10.1109/ACCESS.2020.3022808

3. Li, Z., Zhang, T., Yuan, Z., Wu, Z., Du, Z.: Spatio-temporal pattern analysis and prediction for urban crime. In: 2018 Sixth International Conference on Advanced Cloud and Big Data (CBD), Lanzhou, China, 2018, pp. 177–182. https://doi.org/10.1109/CBD.2018.00040

4. Zhao, X., Tang, J.: Exploring transfer learning for crime prediction. In: 2017 IEEE International Conference on Data Mining Workshops (ICDMW), New Orleans, LA, USA, 2017, pp. 1158–1159. https://doi.org/10.1109/ICDMW.2017.165

5. Zaidi, N., Mustapha, A., Mostafa, S., Razali, M.: A classification approach for crime prediction (2020). https://doi.org/10.1007/978-3-030-38752-5_6.

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