Empirical Analysis of Prediction of Crime and Forecasting With IGWO-SVM Approach-Reference-Cited by-同舟云学术

Empirical Analysis of Prediction of Crime and Forecasting With IGWO-SVM Approach

Published:2023-07-19 Issue: Volume: Page:
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Container-title:2023 2nd International Conference on Edge Computing and Applications (ICECAA)
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Author:

Vasuki R¹,Ganvir Neha²,Sharma Rohita³,Kumar K Senthil⁴,Krishna Kumari SVHN⁵,Singh Kamlesh⁶

Affiliation:

1. Mannar Thirumalai Naicker College,Department of Computer Application,Madurai,Tamilnadu,India

2. KJ College of Engineering and Management,Pune,Maharashtra,India

3. Lovely Professional University,Fine Arts,Punjab,India

4. School of Computing, College of Engineering and Technology, SRM Institute of Science and Technology,Department of and Communications,Chennai,Tamil Nadu,India

5. Vardhaman College of Engineering,Department of CSE (Artificial Intelligence and Machine Learning),Telangana,India

6. Graphic Era Hill University,Department of Computer Science and Engineering,Dehradun,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10211064/10212098/10212134.pdf?arnumber=10212134

Reference27 articles.

1. A survey of data mining techniques for analyzing crime patterns

2. Crime data mining: a general framework and some examples

3. Forecasting Crimes Using Autoregressive Models

4. A review of data mining applications in crime

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