Modeling Public Crime Type Using Multinomial Logistic Regression and K-Nearest Neighbor: Pre-and During-Pandemic COVID-19

Riswan Efendi, Yaumil Isnaini, Sri Widya Rahayu, Rohaidah Masri, Noor Azah Samsudin, Rasyidah. Modeling Public Crime Type Using Multinomial Logistic Regression and K-Nearest Neighbor: Pre-and During-Pandemic COVID-19. In Rozaida Ghazali, Nazri Mohd Nawi, Mustafa Mat Deris, Jemal H. Abawajy, Nureize Arbaiy, editors, Recent Advances in Soft Computing and Data Mining - Proceedings of the Fifth International Conference on Soft Computing and Data Mining (SCDM 2022), May 30-31, 2022, Virtual Event. Volume 457 of Lecture Notes in Networks and Systems, pages 320-327, Springer, 2022. [doi]

@inproceedings{EfendiIRMSR22,
  title = {Modeling Public Crime Type Using Multinomial Logistic Regression and K-Nearest Neighbor: Pre-and During-Pandemic COVID-19},
  author = {Riswan Efendi and Yaumil Isnaini and Sri Widya Rahayu and Rohaidah Masri and Noor Azah Samsudin and Rasyidah},
  year = {2022},
  doi = {10.1007/978-3-031-00828-3_32},
  url = {https://doi.org/10.1007/978-3-031-00828-3_32},
  researchr = {https://researchr.org/publication/EfendiIRMSR22},
  cites = {0},
  citedby = {0},
  pages = {320-327},
  booktitle = {Recent Advances in Soft Computing and Data Mining - Proceedings of the Fifth International Conference on Soft Computing and Data Mining (SCDM 2022), May 30-31, 2022, Virtual Event},
  editor = {Rozaida Ghazali and Nazri Mohd Nawi and Mustafa Mat Deris and Jemal H. Abawajy and Nureize Arbaiy},
  volume = {457},
  series = {Lecture Notes in Networks and Systems},
  publisher = {Springer},
  isbn = {978-3-031-00828-3},
}