A Framework for Analyzing Crime Dataset in R Using Unsupervised Optimized K-means Clustering Technique-Reference-Cited by-同舟云学术

A Framework for Analyzing Crime Dataset in R Using Unsupervised Optimized K-means Clustering Technique

Published:2022 Issue: Volume: Page:593-607
ISSN:2367-4512
Container-title:Lecture Notes on Data Engineering and Communications Technologies
language:
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Author:

Vignesh K.,Nagaraj P.,Muneeswaran V.,Selva Birunda S.,Ishwarya Lakshmi S.,Aishwarya R.

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-9416-5_43

Reference47 articles.

1. Jain V, Sharma Y, Bhatia A, Arora V (2017) Crime prediction using K-means algorithm. GRD J Glob Res Dev J Eng 2(5)

2. Al-Janabi KBS (2011) A proposed framework for analyzing crime data set using decision tree and simple k-means mining algorithms. J Kufa Math Comput 1(3):8–24

3. Vijayarani S, Suganya E, Navya C (2020) A comprehensive analysis of crime analysis using data mining techniques. Int J Comput Sci Eng (IJCSE)

4. Wadhai CG, Kakade TP, Bokde KA, Tumsare DS (2018) Crime analysis using K-means clustering. Int J Eng Res Technol (IJERT) 07(04)

5. Junwei L, Ramkumar S, Emayavaramban G, Thilagaraj M, Muneeswaran V, Rajasekaran MP, Hussein AF (2018) Brain computer interface for neurodegenerative person using electroencephalogram. IEEE Access 7:2439–2452

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