Author Login IJIRT Partner Network (IPN) Login

A review on various classification algorithms to predict the crime status

  • Unique Paper ID: 146245
  • Volume: 4
  • Issue: 12
  • PageNo: 50-54
  • Abstract:
  • in recent past, crime rate is becoming high in most highly populated country. Security is an aspect which is given higher priority by all governments in the world hence the significant task of to predict the crimes over data history. Now a days increasing user of the internet in the world is going rapidly hence cybercrime rate is also increasing. In data mining lots of algorithms are available to solve the mining problems. The crime profiling and zoning can be modelled with utilization of data mining. The predicted crime status can help to police department for investigation of criminal. Classification and clustering may prove the better methods for predict the crime status in data mining. Naïve Bayesian, k-Nearest Neighbour[3], Neural Networks may prove much better classifiers in comparisons of decision tree and support vector machine in data mining
Download article email to a friend

Cite This Article

  • ISSN: 2349-6002
  • Volume: 4
  • Issue: 12
  • PageNo: 50-54

A review on various classification algorithms to predict the crime status

Related Articles

25 May, 2018

cluster based zoning for crime information.

Read More
Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now

Latest Publication

Archive

View More

Recent Conferences

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024

Submit inquiry