An Enhanced Algorithm to Predict a Future Crime using Data Mining

about national security has increased after the 26/11 Mumbai attack. In this paper we look at the use of missing value and clustering algorithm for a data mining approach to help predict the crimes patterns and fast up the process of solving crime. We will concentrate on MV algorithm and Apriori algorithm with some enhancements to aid in the process of filling the missing value and identification of crime patterns. We applied these techniques to real crime data. We also use semi- supervised learning technique in this paper for knowledge discovery from the crime records and to help increase the predictive accuracy.

[1]  Kadir Ozkan.  Managing data mining at digital crime investigation. , 2004, Forensic science international.

[2]  George M. Mohay,et al.  Mining e-mail content for author identification forensics , 2001, SGMD.

[3]  I. D. Wilson,et al.  Predicting the geo-temporal variations of crime and disorder , 2003 .

[4]  Craig A. Knoblock,et al.  Building data integration queries by demonstration , 2007, IUI '07.

[5]  S. M. Edwardes.  Crime in India , 1924 .

[6]  Craig A. Knoblock,et al.  Phoebus: A System for Extracting and Integrating Data from Unstructured and Ungrammatical Sources , 2006, AAAI.

[7]  Walter A. Kosters,et al.  Data Mining Approaches to Criminal Career Analysis , 2006, Sixth International Conference on Data Mining (ICDM'06).

[8]  Marco Furini,et al.  International Journal of Computer and Applications , 2010 .

[9]  Tamas Abraham,et al.  Investigative profiling with computer forensic log data and association rules , 2002, 2002 IEEE International Conference on Data Mining, 2002. Proceedings..

[10]  P.M.E. Volten.  Globalization and International Security , 2004 .

[11]  Donald E. Brown,et al.  The Regional Crime Analysis Program (ReCAP): a framework for mining data to catch criminals , 1998, SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218).

[12]  Hsinchun Chen,et al.  Using Coplink to Analyze Criminal-Justice Data , 2002, Computer.

[13]  Mohammad Reza Keyvanpour,et al.  Detecting and investigating crime by means of data mining: a general crime matching framework , 2011, WCIT.

[14]  Ted E. Senator,et al.  The FinCEN Artificial Intelligence System: Identifying Potential Money Laundering from Reports of Large Cash Transactions , 1995, IAAI.