Design and Analysis of Machine Learning Algorithms for the reduction of crime rates in India

Author:

Bandekar Shraddha Ramdas,Vijayalakshmi C.

Publisher

Elsevier BV

Subject

General Engineering

Reference15 articles.

1. Premalatha, M. & Vijayalakshmi, C.. (2019). SVM approach for non-parametric method in classification and regression learning process on feature selection with ɛ - insensitive region. Malaya Journal of Matematik. S. 276–279. 10.26637/MJM0S01/0051.

2. Suhong Kim, Param Joshi, Parminder Singh Kalsi, and Pooya Taheri,(2019), “Crime Analysis Through Machine Learning”, DOI: 10.1109/IEMCON.2018.8614828 Conference: 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON).

3. Prediction of Crime Rate Analysis Using Supervised Classification Machine Learning Approach;Kirthika;International Research Journal of Engineering and Technology (IRJET),2019

4. Crime prediction through urban metrics and statistical learning;Alves;Physica A,2018

5. S. Prabakaran and S. Mitra, (2018), “Survey of analysis of crime detection techniques using data mining and machine learning”, Nat. Conf. on Math. Techn. and its Appl. (NCMTA 2018), IOP J. of Physics: Conf. Series, Vol. 1000.

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