JOURNAL ARTICLE

Crime Analysis using K-Means Clustering

Jyoti AgarwalRenuka NagpalRajni Sehgal

Year: 2013 Journal:   International Journal of Computer Applications Vol: 83 (4)Pages: 1-4

Abstract

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.

Keywords:
Computer science Cluster analysis Crime analysis Data science Data mining Artificial intelligence Criminology Sociology

Metrics

109
Cited By
2.36
FWCI (Field Weighted Citation Impact)
6
Refs
0.91
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Anomaly Detection Techniques and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence
Crime Patterns and Interventions
Social Sciences →  Social Sciences →  Sociology and Political Science
Network Security and Intrusion Detection
Physical Sciences →  Computer Science →  Computer Networks and Communications

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