Open Access Open Access  Restricted Access Subscription or Fee Access

Cluster Based Prediction Model for Crime Data Mining

Dr. S. Santhosh Baboo, A. Malathi


Crime data mining has gained popularity due to the increase in volume of crime data along with the incidence and complexity of crimes. We use data mining methods for analyzing city crime data. The result of this data mining could potentially be used to lesion and even prevent the crimes. A major challenge facing all law-enforcement and intelligence-gathering organizations is accurately and efficiently analyzing the growing volumes of crime data. This paper proposes a crime data mining system to analyze the city crime data, to preprocess the data set and predict the population using clustering.


Crime Data Mining, Clustering and Pre Processing.

Full Text:



Chen., H., et al.,mining: an overview and case studies, in Proceedings of the 2003 annual national conference on Digital Government research. 2003, Digital Government Society of North America: Boston, MA.

CrimeReportsLive. 2007 [cited 2008 September 18th]; Available from:

Hsinchun Chen, Wingyan Chung, Yi Qin, Michael Chau, Jennifer Jie Xu,Gang Wang, Rong Zheng, Homa Atabakhsh,“Crime Data Mining: A General Framework and Some Examples”, IEEE Computer Society April 2004.

Weka 3 - Data Mining with Open Source Machine Learning Software in Java. 7 Dec. 2008

API: (

College and University Campus Crime Statistics. 20 Nov.2008>.

Federal Bureau of Investigation - Uniform Crime Reports. 20 Nov. 2008

State and County Data - Census Bureau. 20 Nov. 2008

Hirschhorn, Larry, Scenario Writing: A DevelopmentalApproach, Journal of the American Planning Association,46:2,172 -183, 1980

Jeanne B. Stinchcomb, Demographics, crime trends, andpublic policies: what does the future hold for jails?, Florida Atlantic University, 7-14, 2007

Vladimir K. Teles, The effects of mcro-economics policies on crime, Economics Bulletin, 11(1), 1-9, 2004

Stephen Schneider, Predicting crime: a review of the research,Department of Justice Canada, 1-2, 2002

Shyam Varan Nath, Crime Pattern Detection Using Data Mining, Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology , 41-44, 2006

Zimring, F., & Hawkins, Crime is not the problem, Oxford University press, 1997

Classification via Decision Trees in weak, Depaul University,

Crime in the United States. 20 Nov. 2008 co lleges.html


  • There are currently no refbacks.

Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.