Crime Analysis using K-Means Clustering

@inproceedings{Mtech2013CrimeAU,
  title={Crime Analysis using K-Means Clustering},
  author={Jyoti Agarwal Mtech and Renuka Nagpal},
  year={2013}
}
In today’s world security is an aspect which is given higher priority by all political and government worldwide and aiming to reduce crime incidence. As data mining is the appropriate field to apply on high volume crime dataset and knowledge gained from data mining approaches will be useful and support police force. So In this paper crime analysis is done by performing k-means clustering on crime dataset using rapid miner tool. 
9 Citations
7 References
Similar Papers

References

Publications referenced by this paper.
Showing 1-7 of 7 references

Forecasting Crime Incidents using Cluster Analysis and Bayesian Belief Networks

  • Aravindan Mahendiran, Michael Shuffett, Sathappan Muthiah, Rimy Malla, Gaoqiang
  • 2011
1 Excerpt

Vaishnav College,Chennai ,2011 Algorithmic Crime Prediction Model Based on the Analysis of Crime Clusters

  • A.Malathi, Dr.S.Santhosh Baboo. D.G
  • 2011
2 Excerpts

Crime Data Mining for Indian Police Information System

  • Manish Gupta, M.P.B.Chandra
  • 2007

Data mining approaches to criminal carrer analysis

  • J. S. De Bruin, T. K Cocx, W. A. Kosters, J. Laros
  • Proceedings of the Sixth International Conference…
  • 2006

Data mining approaches to criminal carrer analysis ,”in

  • J. S. De Bruin, Cocx, T.K, W. A. Kosters, J. Laros
  • Proceedings of the Sixth International Conference…
  • 2006
1 Excerpt

Similar Papers

Loading similar papers…